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Journal articles on the topic 'Object of the deal'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Baidya, Ranjai, and Heon Jeong. "YOLOv5 with ConvMixer Prediction Heads for Precise Object Detection in Drone Imagery." Sensors 22, no. 21 (2022): 8424. http://dx.doi.org/10.3390/s22218424.

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The potency of object detection techniques using Unmanned Aerial Vehicles (UAVs) is unprecedented due to their mobility. This potency has stimulated the use of UAVs with object detection functionality in numerous crucial real-life applications. Additionally, more efficient and accurate object detection techniques are being researched and developed for usage in UAV applications. However, object detection in UAVs presents challenges that are not common to general object detection. First, as UAVs fly at varying altitudes, the objects imaged via UAVs vary vastly in size, making the task at hand mo

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Karaman, Omer. "Pathologic Transitional Object: A Case Report." International Education Studies 11, no. 8 (2018): 136. http://dx.doi.org/10.5539/ies.v11n8p136.

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A transitional object is the selection and binding to an object that reminds the child of the mother and helps deal with separation anxiety in situations where the child is separated from the mother. In reality, many children are observed to have transitional objects and no problems occur.In this case report, the transitional object became pathological. An only child, the boy was 3.5 years and wished to wear the pyjamas chosen as transitional object in all areas of life. According to anamnesis from the family, there was no socio-economic problem experienced. Additionally, the child’s developme

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Zhao, Wenrui, Jingchuan Wang, Weidong Chen, and Yi Huang. "Planning for grasping cluttered objects based on obstruction degree." International Journal of Advanced Robotic Systems 18, no. 6 (2021): 172988142110406. http://dx.doi.org/10.1177/17298814211040632.

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Grasping objects in clutter is more difficult than grasping a separated single object. An important issue is that unsafe grasps may occur, in case, one object sits or leans on another, which could cause the collapse of objects. In addition, reachability of each object surrounded by other obstacles also has to be considered. So the order of multiple objects for grasping and the grasp configuration of each object must be planned simultaneously. This article combines grasp order and grasp configuration planning to perform fast and safe multiobject grasping in cluttered scenes. First, a comprehens

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Zeng, Tianhe, and Jiqing Zeng. "The optical measurement speed of moving bodies and the observer's position effect." Physics Essays 36, no. 1 (2023): 94–99. http://dx.doi.org/10.4006/0836-1398-36.1.94.

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From ancient times to the Newtonian mechanics system, people defaulted to the speed of light as infinity. People usually measure the speed of a moving object directly with the help of optical or electronic equipment and take the measured speed as the actual speed of the object. In fact, the speed of light is limited. When an object moves at high speed, we must correct the measured speed of the object. However, at present, people only use Einstein's special theory of relativity to deal with the high-speed motion of objects, and there is no theory to correct the measured speed of objects under t

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Tripathi, Sneha. "Digital preservation: some underlying issues for long-term preservation." Library Hi Tech News 35, no. 2 (2018): 8–12. http://dx.doi.org/10.1108/lhtn-09-2017-0067.

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Purpose The purpose of this study is to investigate the concept of digital preservation and traditional preservation per se and discusses various issues related to long-term preservation in a digital environment. Design/methodology/approach The study attempts to look into the various aspects of preservation in context of digital objects (borne or digitalized) especially. Bundling of an object (digital), digital storage, quality control and risk preparedness are some of the pointers studied to perceive an overall scenario for long-term preservation of an object. Findings Various methods have be

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Qiao, Shengye, Changqun Xia, Yanjie Liang, Gongjin Lan, and Jia Li. "Holistic Correction with Object Prototype for Video Object Segmentation." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 6 (2025): 6586–93. https://doi.org/10.1609/aaai.v39i6.32706.

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Recently, memory-based methods have achieved progress in semi-supervised video object segmentation. However, these methods still suffer from unstructured challenges, such as object transformations, occlusions and disappearance-reappearance. To this end, we propose a Holistic Correction Network (HCNet) to adaptively acquire concise object prototypes for holistic correction at semantic, spatial and temporal aspects. Specifically, an Adaptive Prototype Update module is firstly designed to construct multi-level core object representations by associating object variations in consecutive frames with

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WANG, TAEHYUNG, and PHILLIP C. Y. SHEU. "AN OBJECT-ORIENTED BSP TREE ALGORITHM FOR HIDDEN SURFACE REMOVAL." International Journal of Image and Graphics 02, no. 03 (2002): 395–411. http://dx.doi.org/10.1142/s021946780200072x.

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Since the BSP tree algorithm was introduced, many extended or applied algorithms for the original BSP tree algorithm have been reported. Most of the previous work dealt with polygons that are components of polyhedra. If a scene consists of many polyhedra and they are allowed to move, the management cost of a BSP tree becomes expensive and the size of the tree becomes large. This paper presents an object-oriented BSP tree algorithm that can more efficiently deal with a large number of moving polyhedra.

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Yehia, Amany, and Shereen A. Taie. "RGB-D and corrupted images in assistive blind systems in smart cities." Bulletin of Electrical Engineering and Informatics 11, no. 4 (2022): 1970–82. http://dx.doi.org/10.11591/eei.v11i4.3770.

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Assistive blind systems or assistive systems for visually impaired in smart cities help visually impaired to perform their daily tasks faced two problems when using you only look once version 3 (YOLOv3) object detection. Object recognition is a significant technique used to recognize objects with different technologies, algorithms, and structures. Object detection is a computer vision technique that identifies and locates instances of objects in images or videos. YOLOv3 is the most recent object detection technique that introduces promising results. YOLOv3 object detection task is to determine

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Amany, Yehia, and A. Taie Shereen. "RGB-D and corrupted images in assistive blind systems in smart cities." Bulletin of Electrical Engineering and Informatics 11, no. 4 (2022): 1970~1982. https://doi.org/10.11591/eei.v11i4.3770.

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Assistive blind systems or assistive systems for visually impaired in smart cities help visually impaired to perform their daily tasks faced two problems when using you only look once version 3 (YOLOv3) object detection. Object recognition is a significant technique used to recognize objects with different technologies, algorithms, and structures. Object detection is a computer vision technique that identifies and locates instances of objects in images or videos. YOLOv3 is the most recent object detection technique that introduces promising results. YOLOv3 object detection task is to determine

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Lin, Yu, and Jifa Guo. "Fuzzy Geospatial Object-Based Membership Function Downscaling." Remote Sensing 15, no. 7 (2023): 1911. http://dx.doi.org/10.3390/rs15071911.

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The area-to-point kriging method (ATPK) is an important technology of downscaling without auxiliary information in remote sensing. However, it uses a constant semivariogram to downscale geospatial variables, which ignores the spatial heterogeneity between the geospatial objects. To deal with this kind of heterogeneity, this study proposes a fuzzy geospatial object-based ATPK method, which mainly consists of three steps: the extraction of fuzzy geospatial objects, the estimation of semivariograms for each object, and the downscaling of each object by ATPK with the corresponding semivariogram. T

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Filyov, P. V. "Forms and Methods of Informing the Population, that Lives within the Territory of the Protection Works on the Object «Maradikovsky» in Orichi District ofKirov Region of Chemical Weapon Destruction." Theoretical and Applied Ecology, no. 2 (June 10, 2007): 93–95. https://doi.org/10.25750/1995-4301-2007-2-093-95.

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The results of the work of the Mirny information+analytical center of Russia Green Cross and the public relation group of the object 1205 «Maradikovsky» that deal with informing the population of safe functioning of objects for storage and destruction the chemical weapon are generalized in the article.

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Yang, Yu, Yong Xing Jia, Chuan Zhen Rong, et al. "Object Tracking Based on Corrected Background-Weighted Histogram Mean Shift and Kalman Filter." Advanced Materials Research 765-767 (September 2013): 720–25. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.720.

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The classical mean shift (MS) algorithm is the best color-based method for object tracking. However, in the real environment it presents some limitations, especially under the presence of noise, objects with partial and full occlusions in complex environments. In order to deal with these problems, this paper proposes a reliable object tracking algorithm using corrected background-weighted histogram (CBWH) and the Kalman filter (KF) based on the MS method. The experimental results show that the proposed method is superior to the traditional MS tracking in the following aspects: 1) it provides c

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Zhang, Rong, Wei Li, Peng Wang, et al. "AutoRemover: Automatic Object Removal for Autonomous Driving Videos." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 12853–61. http://dx.doi.org/10.1609/aaai.v34i07.6982.

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Motivated by the need for photo-realistic simulation in autonomous driving, in this paper we present a video inpainting algorithm AutoRemover, designed specifically for generating street-view videos without any moving objects. In our setup we have two challenges: the first is the shadow, shadows are usually unlabeled but tightly coupled with the moving objects. The second is the large ego-motion in the videos. To deal with shadows, we build up an autonomous driving shadow dataset and design a deep neural network to detect shadows automatically. To deal with large ego-motion, we take advantage

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Trần, Minh T., Bao V. Tran, Nguyen D. Vo, and Khang Nguyen. "An object detection method for aerial hazy images." Can Tho University Journal of Science 14, no. 1 (2022): 91–98. http://dx.doi.org/10.22144/ctu.jen.2022.010.

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Image processing and object detection in aerial images have to deal with a lot of trouble due to the existence of haze, smoke, dust in the atmosphere. These factors can blur objects and severely decline image quality which might lead to incorrect or missing object detection. To solve this problem, this study shows a method that can reduce the bad effect of haze on object detection in aerial images. A combination of a dehazing method called Feature Fusion Attention Network (FFA-Net) and an object detection method named Probabilistic Anchor Assignment (PAA) was conducted to evaluate two hypothes

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Travanini, Cristina. "Centaurs, Pegasus, Sherlock Holmes: Against the Prejudice in Favour of the Real." Kairos. Journal of Philosophy & Science 17, no. 1 (2016): 56–72. http://dx.doi.org/10.1515/kjps-2016-0017.

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Abstract Meinong’s thought has been rediscovered in recent times by analytic philosophy: his object theory has significant consequences in formal ontology, and especially his account of impossible objects has proved itself to be decisive in a wide range of fields, from logic up to ontology of fiction. Rejecting the traditional ‘prejudice in favour of the real’, Meinong investigates what there is not: a peculiar non-existing object is precisely the fictional object, which exemplifies a number of properties (like Sherlock Holmes, who lives in Baker Street and is an outstanding detective) without

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Zhu, Fei, Quan Liu, Shan Zhong, and Yang Yang. "Human-level moving object recognition from traffic video." Computer Science and Information Systems 12, no. 2 (2015): 787–99. http://dx.doi.org/10.2298/csis141114026z.

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Video preserves valuable raw information. Understanding these data and then recognizing objects and tagging them are crucial to intelligent planning and decision making. Deep learning provides us an effective way to understand big data with a human-level. As traffic video is characterized by crowded scene and low definition, it will be non-effective to deal with the whole image once. An alternative way is to separate image and determine a small window for each moving object. A Q-learning based moving object recognition approach, which firstly finds out moving object region and then uses a Q-le

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Wang, Li, Ruifeng Li, Jingwen Sun, et al. "Multi-View Fusion-Based 3D Object Detection for Robot Indoor Scene Perception." Sensors 19, no. 19 (2019): 4092. http://dx.doi.org/10.3390/s19194092.

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To autonomously move and operate objects in cluttered indoor environments, a service robot requires the ability of 3D scene perception. Though 3D object detection can provide an object-level environmental description to fill this gap, a robot always encounters incomplete object observation, recurring detections of the same object, error in detection, or intersection between objects when conducting detection continuously in a cluttered room. To solve these problems, we propose a two-stage 3D object detection algorithm which is to fuse multiple views of 3D object point clouds in the first stage

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Crawford, Eric, and Joelle Pineau. "Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (2020): 3684–92. http://dx.doi.org/10.1609/aaai.v34i04.5777.

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The ability to detect and track objects in the visual world is a crucial skill for any intelligent agent, as it is a necessary precursor to any object-level reasoning process. Moreover, it is important that agents learn to track objects without supervision (i.e. without access to annotated training videos) since this will allow agents to begin operating in new environments with minimal human assistance. The task of learning to discover and track objects in videos, which we call unsupervised object tracking, has grown in prominence in recent years; however, most architectures that address it st

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Yin, Hai Ming. "Detecting Tower Cranes in Images." Applied Mechanics and Materials 433-435 (October 2013): 353–57. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.353.

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In this paper, we present a new detection algorithm for tower crane. First the objects are segmented by an improved J-SEG algorithm, and then the geometric characteristics and luminance information are used to identify the tower crane objects. Experimental results indicate our algorithm can deal with most of the tower crane images, and it is suitable for the track object initialization in the video surveillance.

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Passarella, Rossi, and Osvari Arsalan. "Object Reconstruction from 2D Drawing sketch to 3D Object." Computer Engineering and Applications Journal 5, no. 3 (2016): 119–26. http://dx.doi.org/10.18495/comengapp.v5i3.183.

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Design engineer in the early phase of building up another product is Â typically using a freehand sketching to communicate or illustrate the idea in the form of orthographic projection. This orthographic projection is based on viewpoint. A translation from 2D drawingÂ view point to 3D models is needed to help engineer to imagine the product preview in 3D. This procedure includes a tedious, so that automation is needed. The way to deal with this reproduction issue begin straightforwardly from 2D freehand portraying, by using the camera, the 2D drawing is captured and then transferred to a Perso

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Wang, Yanjiang, Yujuan Qi, and Yongping Li. "Memory-Based Multiagent Coevolution Modeling for Robust Moving Object Tracking." Scientific World Journal 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/793013.

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The three-stage human brain memory model is incorporated into a multiagent coevolutionary process for finding the best match of the appearance of an object, and a memory-based multiagent coevolution algorithm for robust tracking the moving objects is presented in this paper. Each agent can remember, retrieve, or forget the appearance of the object through its own memory system by its own experience. A number of such memory-based agents are randomly distributed nearby the located object region and then mapped onto a 2D lattice-like environment for predicting the new location of the object by th

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Kim, Dong Whan, and Jong Eun Ha. "Object Manipulation Using Kinect as the 3D Sensor." Applied Mechanics and Materials 432 (September 2013): 437–41. http://dx.doi.org/10.4028/www.scientific.net/amm.432.437.

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ndustrial robot can extend its capability adopting sensors such as camera and laser range finder. In this paper, we deal with object manipulation including grasping objects on the table and inserting them into the hole on the vertical plane. Kinect is used as the 3D sensor. First, object location and target location is computed after processing 3D data. Robot motion obtained by solving inverse kinematics can have errors so that we adopt visual feedback style approach. Chessboard type marker is attached on the end-effector of the robot and its location with respect to the target is used to corr

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Gu, Chengge, Jianying Bao, Haonan Sang, and Jinqiua Mo. "Planar object recognition based on local feature prediction agreements." MATEC Web of Conferences 246 (2018): 03011. http://dx.doi.org/10.1051/matecconf/201824603011.

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Object recognition has drawn great attention in industrial application especially in automated feeding and assembling, for it can greatly improve the line flexibility and save cost. In this paper, a simple but effective method for planar object recognition is presented. This method can deal with objects under complex conditions like occlusion and clutter. The method generates object pose hypothesis from the prediction agreements of different local features in the object. There are two stages contained in our method, offline stage and online stage. At offline stage, the representative parts in

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M., Chinnarao R. Goutham Sai Kalyan T. Naga Pravallika B. Srinivas. "Object Detection Using Yolo And Tensor Flow." International Journal in Engineering Sciences 1, no. 1 (2024): 13–23. https://doi.org/10.5281/zenodo.11825059.

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Object detection methods aim to identify all target objects in the target image and determine the categories and position information in order to achieve machine vision understanding. Numerous approaches have been proposed to solve this problem, mainly inspired by methods of computer vision and deep learning. However, existing approaches always perform poorly for the detection of small, dense objects, and even fail to detect objects with random geometric transformations. In this study, we compare and analyse mainstream object detection algorithms and propose a multi-scaled deformable convoluti

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Begum, Sk Razeena, Yogananda Datta S, and Manoj M S V. "MASK R-CNN FOR FIRE DETECTION." International Research Journal of Computer Science 8, no. 7 (2021): 145–51. http://dx.doi.org/10.26562/irjcs.2021.v0807.003.

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Object detection has an increasing amount of attention in recent years due to its wide range of applications and recent technological breakthroughs. Deep learning is the state-of-art method to perform object detection. This task is under extensive investigation in both academics and real-world applications such as security monitoring, autonomous driving, transportation surveillance, drone scene analysis, robotic vision, etc., It is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, bu

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Zhang, Fan, Jiaxing Luan, Zhichao Xu, and Wei Chen. "DetReco: Object-Text Detection and Recognition Based on Deep Neural Network." Mathematical Problems in Engineering 2020 (July 14, 2020): 1–15. http://dx.doi.org/10.1155/2020/2365076.

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Deep learning-based object detection method has been applied in various fields, such as ITS (intelligent transportation systems) and ADS (autonomous driving systems). Meanwhile, text detection and recognition in different scenes have also attracted much attention and research effort. In this article, we propose a new object-text detection and recognition method termed “DetReco” to detect objects and texts and recognize the text contents. The proposed method is composed of object-text detection network and text recognition network. YOLOv3 is used as the algorithm for the object-text detection t

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Han, Guang Hai, and Xin Jun Ma. "The Research on Recognition of the Irregular Objects." Applied Mechanics and Materials 241-244 (December 2012): 1602–7. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.1602.

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It usually need different ways to process different objects in the manufacturing, Therefore, firstly we need to distinguish the categories of objects to be processed, then the machine will know how to deal with the objects. In order to automatically recognize the category of the irregular object, this paper extracted the improved Hu's moments of each object as the feature by the way of processing images of the working platform that the irregular objects are putting on. This paper adopts the variable step BP neural network with adaptive momentum factor as the classifier. The experiment shows th

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Li, Yu, Xiang Juan Li, Ya Sen Zhang, Xian Sun, and Hong Qi Wang. "Multi-Scale Semantic Model for Unsupervised Object Segmentation." Advanced Materials Research 532-533 (June 2012): 859–64. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.859.

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It is difficult to segment instances of object classes accurately unsupervised in images, because of the complexity of structures, inter-class differences, background interference and so on. A multi-scale semantic model method is proposed to overcome the disadvantages existing in most of the relative methods. This method uses generative model to deal with the objects obtained by multi-scale segmentations instead of whole image, and calculates kinds of visual features to mine the topic information of every object. In the segmentation process, a semantic correlative function of every segment blo

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Sun, Lifan, Haofang Yu, Jian Lan, Zhumu Fu, Zishu He, and Jiexin Pu. "Tracking of Multiple Maneuvering Random Hypersurface Extended Objects Using High Resolution Sensors." Remote Sensing 13, no. 15 (2021): 2963. http://dx.doi.org/10.3390/rs13152963.

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With the increased resolution capability of modern sensors, an object should be considered as extended if the target extent is larger than the sensor resolution. Multiple maneuvering extended object tracking (MMEOT) uses not only measurements of the target centroid but also high-resolution sensor measurements which may resolve individual features or measurement sources. MMEOT aims to jointly estimate object number, centroid states, and extension states. However, unknown and time-varying maneuvers of multiple objects produce difficulties in terms of accurate estimation. For multiple maneuvering

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Hirai, S., and T. Wada. "Indirect simultaneous positioning of deformable objects with multi-pinching fingers based on an uncertain model." Robotica 18, no. 1 (2000): 3–11. http://dx.doi.org/10.1017/s0263574799002362.

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A new approach to the control of indirect simultaneous positioning of deformable objects is presented. Many manufacturing processes that deal with deformable objects such as clothes and rubber sheets involve a positioning of multiple points on a deformable object. The multiple points should be guided simultaneously to the desired locations. Moreover, these positioned points cannot be manipulated directly. This operation is referred to as indirect simultaneous positioning. In this article, we will propose a new control law for indirect simultaneous positioning of a deformable object based on it

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Tanuja, Kayarga. "Multiple Object Detection and Tracking in Dynamic Environment using Real Time Video." International Journal of Trend in Scientific Research and Development 2, no. 1 (2017): 1090–99. https://doi.org/10.31142/ijtsrd7181.

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Video surveillance is an active research topic in computer vision that tries to detect, recognize and track objects over a sequence of images and it also makes an attempt to understand and describe object behavior by replacing the aging old traditional method of monitoring cameras by human operators. Object detection and tracking are important and challenging tasks in many computer vision applications such as surveillance, vehicle navigation and autonomous robot navigation. Object detection involves locating objects in the frame of a video sequence. Every tracking method requires an object det

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THAKOOR, NINAD, and JEAN X. GAO. "AUTOMATIC VIDEO OBJECT EXTRACTION WITH CAMERA IN MOTION." International Journal of Image and Graphics 08, no. 04 (2008): 573–600. http://dx.doi.org/10.1142/s0219467808003246.

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Automatic moving object extraction has been explored extensively in the image processing and computer vision community. Generally, moving object extraction schemes rely on either optical flow or frame difference. Optical flow methods can deal with moving cameras, but they are inconsistent at object boundaries and the object segmentation tends to be inaccurate. Although frame difference approaches can detect object boundaries, they cannot detect the uniform intensity interior regions. Additionally, the frame difference approaches cannot deal with moving cameras. We present a novel technique for

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Katanaev, N. Т. "SYSTEMIC EVALUATION OF CONTROLLABILITY OF WHEELED MACHINES." Izvestiya MGTU MAMI 6, no. 1 (2012): 34–41. http://dx.doi.org/10.17816/2074-0530-69862.

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The paper deals with the most important problems of the theory of wheeled and tracked vehicles, associated with the concepts of controllability, observability and vehicle stability. There are fundamental theoretical research on direct estimations of dynamic properties of an object, but the current level of reflection requires a systemic approach to solving those problems, and deal with the theoretical studies.

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Reppa, Irene, Kate E. Williams, W. James Greville, and Jo Saunders. "The relative contribution of shape and colour to object memory." Memory & Cognition 48, no. 8 (2020): 1504–21. http://dx.doi.org/10.3758/s13421-020-01058-w.

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AbstractThe current studies examined the relative contribution of shape and colour in object representations in memory. A great deal of evidence points to the significance of shape in object recognition, with the role of colour being instrumental under certain circumstances. A key but yet unanswered question concerns the contribution of colour relative to shape in mediating retrieval of object representations from memory. Two experiments (N=80) used a new method to probe episodic memory for objects and revealed the relative contribution of colour and shape in recognition memory. Participants v

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Amita, Chauhan, Verma Meenakshi, Gupta Simran, Srivastava Varsha, and Kumar Ajay. "OBJECT DETECTION USING MACHINE LEARNING." International Research Journal of Computer Science VII, no. IV (2020): 41–45. https://doi.org/10.26562/irjcs.2020.v0704.003.

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Accurate Object Detection was always a big deal and an important part of the Information Technology era. After the arrival of Machine Learning and Deep Learning technologies, the efficiency and accuracy for Object Detection increased significantly. These technologies greatly assisted in the evolution of the computer vision systems. This project focuses to integrate state-of-the-art technique for object detection with the aim of the achieving high accuracy. In this project we are using a deep learning part which is Tensorflow and OpenCV, which is a library of programming functions mainly aimed

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Gai, Shao Yan, and Fei Peng Da. "Material Surface Reconstruction Based on Light Projection." Advanced Materials Research 143-144 (October 2010): 768–72. http://dx.doi.org/10.4028/www.scientific.net/amr.143-144.768.

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A surface reconstruction method for material shape analysis is presented. The three-dimensional shape reconstruction system detects object surface based on optical principle. A series of gratings are projected to the object, and the projected gratings are deformed by the object surface. From images of the deformed gratings, three-dimensional profile of the material surface can be obtained. The basic aspects of the method are discussed, including the vision geometry, the light projection and code principle. The proposed method can deal with objects with various discontinuities on the material s

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Rose, David, and Randolph Blake. "Motion perception: from phi to omega." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 353, no. 1371 (1998): 967–80. http://dx.doi.org/10.1098/rstb.1998.0261.

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When human observers view dynamic random noise, such as television ‘snow’, through a curved or annular aperture, they experience a compelling illusion that the noise is moving smoothly and coherently around the curve (‘the omega effect’). In several series of experiments, we have investigated the conditions under which this effect occurs and the possible mechanisms that might cause it. We contrast the omega effect with ‘phi motion’, seen when an object suddenly changes position. Our conclusions are that the visual scene is first segmented into objects before a coherent velocity is assigned to

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Ji, Wei, Zhengyu Liang, and Clarence Edward Choi. "Object Impacted and Transported by Dry Granular Flow: 3D MPM-SDEM." E3S Web of Conferences 415 (2023): 02010. http://dx.doi.org/10.1051/e3sconf/202341502010.

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Granular geophysical flows pose a significant threat to human lives and infrastructure in mountainous regions globally. Property and victims impacted by these flows often get carried away and buried. Quickly locating the potential location of victims is critical for post-disaster recovery and rescue. However, the trajectory of object impacted by granular flows is difficult to predict because of the scale disparity between the sizes of granular particles and the object being transported. To deal with this multi-scale problem, a continuum-discrete solver, specifically the material-discrete eleme

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Trifunovic, Dejan. "Single object auctions with interdependent values." Ekonomski anali 56, no. 188 (2011): 125–69. http://dx.doi.org/10.2298/eka1188125t.

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This paper reviews single object auctions when bidders? values of the object are interdependent. We will see how the auction forms could be ranked in terms of expected revenue when signals that bidders have about the value of the object are affiliated. In the discussion that follows we will deal with reserve prices and entry fees. Furthermore we will examine the conditions that have to be met for English auction with asymmetric bidders to allocate the object efficiently. Finally, common value auctions will be considered when all bidders have the same value for the object.

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Crane, Tim. "Sainsbury on Thinking about an Object." Crítica (México D. F. En línea) 40, no. 120 (2008): 85–95. http://dx.doi.org/10.22201/iifs.18704905e.2008.1001.

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R.M. Sainsbury’s account of reference has many compelling and attractive features. But it has the undesirable consequence that sentences of the form “x is thinking about y” can never be true when y is replaced by a non-referring term. Of the two obvious ways to deal with this problem within Sainsbury’s framework, I reject one (the analysis of thinking about as a propositional attitude) and endorse the other(treating “thinks about” as akin to an intensional transitive verb). This endorsement is also within the spirit of Sainsbury’s account of reference.

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Altukhova, E. V. "The Use of Objects of Intellectual Property as Mortgage Tools." Vestnik of the Plekhanov Russian University of Economics, no. 6 (December 18, 2018): 39–46. http://dx.doi.org/10.21686/2413-2829-2018-6-39-46.

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Present day economy is based on knowledge and intellect, where the principle element of competitiveness is intellectual property. Availability of intellectual property market is an integral part of the innovation economy development, which determines the form and procedure of objects of intellectual property circulation. In industrialized countries intellectual property becomes a factor of production. The necessity to use objects of intellectual property in economic relations is stipulated also by globalization processes taking place in economy. It is impossible to realize the Strategy of Scie

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Cherepanova, Ekaterina. "Justification of atemporal values in Alexius Meinong’s theory of objects." Filozofija i drustvo 31, no. 1 (2020): 73–83. http://dx.doi.org/10.2298/fid2001073c.

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In the history of philosophy, Alexius Meinong?s interest in axiology has traditionally been seen as confined to his earlier works. However, if we analyze his writing after 1917, in which Meinong discusses timeless values, it becomes clear that he became increasingly disinterested in psychology. Moreover, since the theory of the object, in Meinong?s view, could not be a part of metaphysics, he had to deal with the additional methodological difficulty of proving that the good exists independently of human subjectivity. The article discusses A. Meinong?s understanding of the object of desire, the

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Impedovo, Maria Antonietta. "Technical Object, Baby Mimesis, and Affective Scaffolding." Journal of Posthumanism 2, no. 2 (2022): 151–65. http://dx.doi.org/10.33182/joph.v2i2.1935.

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Posthumanism perspectives see the relationship between humans and technology in inter-connected ways exploring cognition, perception, and awareness co-developmental implications with technology. This article focuses on the interplay between technical objects and the baby niche of development. Two main concepts will guide the discussion: posthuman mimesis and the affective dimension as a possible regulative mediator for object-subject relationships. The broad research question is: How do babies deal with increasingly complex technology daily? Which regulative role does mimesis and affective sca

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Chen, Ting, Andrea Pennisi, Zhi Li, Yanning Zhang, and Hichem Sahli. "A Hierarchical Association Framework for Multi-Object Tracking in Airborne Videos." Remote Sensing 10, no. 9 (2018): 1347. http://dx.doi.org/10.3390/rs10091347.

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Multi-Object Tracking (MOT) in airborne videos is a challenging problem due to the uncertain airborne vehicle motion, vibrations of the mounted camera, unreliable detections, changes of size, appearance and motion of the moving objects and occlusions caused by the interaction between moving and static objects in the scene. To deal with these problems, this work proposes a four-stage hierarchical association framework for multiple object tracking in airborne video. The proposed framework combines Data Association-based Tracking (DAT) methods and target tracking using a compressive tracking appr

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Tandiono, Sudargo, and Indrati Rini. "Legal Protection For Cessionaris Of Fiduciary Collateral Objects In The Form Of Receivables Through Cessie As A Form Of Transfer Of Taxable Goods." Jurnal Hukum dan Kenotariatan 8, no. 2 (2024): 59–72. http://dx.doi.org/10.33474/hukeno.v8i2.21664.

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The existence of a collateral object is intended as a form of protection for creditors if the debtor experiences delinquency, which makes it easier for creditors to collect repayment from the collateral object. However, in terms of the object of collateral in the form of accounts receivable, how valid is it as a form of transfer through a cessie. The normative legal approach using the statute approach is applied in the research methodology of this research. The results of the analysis show that the parties most at risk in transferring fiduciary collateral with objects of receivables through a

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Srirekha, B., Shakeela Sathish, R. Narmada Devi, Miroslav Mahdal, Robert Cep, and K. Elavarasan. "Attributes Reduction on SE-ISI Concept Lattice for an Incomplete Context Using Object Ranking." Mathematics 11, no. 7 (2023): 1585. http://dx.doi.org/10.3390/math11071585.

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The formal concept of lattice plays a vital role in knowledge discovery. Reduction of the attribute has many applications in machine learning technology and data mining fields. In this paper, we introduce an object ranking concept to define a consistency set and the reduction of the attributes by structural features. An incomplete information system works on the three-way concepts using the SE-ISI Context. The granular was emphasized with join (meet) irreducible sets using the object ranking concepts. A dual operator is defined based on the object ranking concepts and its properties and condit

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Deng, Yongxin. "New trends in digital terrain analysis: landform definition, representation, and classification." Progress in Physical Geography: Earth and Environment 31, no. 4 (2007): 405–19. http://dx.doi.org/10.1177/0309133307081291.

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This article provides an ontological as well as methodological evaluation of recent progress in terrain analysis. It focuses on six topographic factors, or existences, that are important in characterizing the biophysical functions of topography: elevation, surface shape, topographic position, topographic context, spatial scale, and landform object. Terrain analysis approaches are assessed according to what they really deal with, as well as how they work. Important trends are consequently identified, in which spatial scale plays critical but non-uniform roles. An index-based approach to the com

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Saif, A. F. M. Saifuddin, Anton Satria Prabuwono, and Zainal Rasyid Mahayuddin. "Moving Object Detection Using Dynamic Motion Modelling from UAV Aerial Images." Scientific World Journal 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/890619.

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Motion analysis based moving object detection from UAV aerial image is still an unsolved issue due to inconsideration of proper motion estimation. Existing moving object detection approaches from UAV aerial images did not deal with motion based pixel intensity measurement to detect moving object robustly. Besides current research on moving object detection from UAV aerial images mostly depends on either frame difference or segmentation approach separately. There are two main purposes for this research: firstly to develop a new motion model called DMM (dynamic motion model) and secondly to appl

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Václav, Štefan, Jozef Jurko, and Šimon Lecký. "Part as an Object of Assembly." Research Papers Faculty of Materials Science and Technology Slovak University of Technology 24, no. 38 (2016): 57–65. http://dx.doi.org/10.1515/rput-2016-0039.

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Abstract We deal with static prearranged couples in practice quite often. Constructers are using them a lot to improve rigidity of product. Some examples are mentioned in this article. The paper also discusses the models of kinematic couples in plane and models of kinematic couples in space. Spatial movable and non-movable couples are commented on as well. The article particularly focuses on application of statics in the assembly in spatial couples (movable, non-movable) for intentional allowance fix which leads to a non-problem assembly. With fix like this, it is possible to manufacture selec

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Figal, Günter. "Life as Understanding." Research in Phenomenology 34, no. 1 (2004): 20–30. http://dx.doi.org/10.1163/1569164042404491.

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In this paper I take up the "claim to universality" of hermeneutics, as put forth by Hans-Georg Gadamer; the aim is to grasp the "life that can understand," to grasp it in its essence and in terms of understanding. In this way I deal critically with Gadamer's (and Heidegger's) idea that all understanding is "self-understanding" and work out the dependence of understanding on the other, on the "hermeneutic object" ( Gegenstand ) of understanding. But a "hermeneutic object" ( Gegenstand ) is not a "mere object" ( Objekt ). On the basis of this distinction, I develop, in conclusion, a critical re

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