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Thematische Bibliographien / ROI tracking / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „ROI tracking“

Autor: Grafiati

Veröffentlicht am 25. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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1

Chandran, Deepak R. "Return on Investment (ROI) for Asset (Tools) Tracking." Journal of Advanced Research in Embedded System 05, no. 03 (2018): 1–6. http://dx.doi.org/10.24321/2395.3802.201801.

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Lv, Ying. "Typhoon Cloud Tracking by Kalman Filter." Applied Mechanics and Materials 58-60 (June 2011): 2487–92. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.2487.

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Typhoon cloud has its changeability, so it is difficult to track and predict compared with the rigid targets. Region of interest (ROI) and reference region were selected by using interactive methods. Bezier curve is used to smooth the gray level histogram of ROI and obtain Bezier histogram. The gray level value which is corresponding to the valley of the Bezier histogram is used to segment the ROI in order to get the tracking target. And target parameters could be predicted by using Kalman filter, then getting the moving track of the target. Experimental results show that the proposed algorith

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Zhao, Qisen, Liquan Dong, Xuhong Chu, Ming Liu, Lingqin Kong, and Yuejin Zhao. "Particle Filter Tracking System Based on Digital Zoom and Regional Image Measure." Sensors 25, no. 3 (2025): 880. https://doi.org/10.3390/s25030880.

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To address the challenges of low accuracy and the difficulty in balancing a large field of view and long distance when tracking high-speed moving targets with a single sensor, an ROI adaptive digital zoom tracking method is proposed. In this paper, we discuss the impact of ROI on image processing and describe the design of the ROI adaptive digital zoom tracking system. Additionally, we construct an adaptive ROI update model based on normalized target information. To capture target changes effectively, we introduce the multi-scale regional measure and propose an improved particle filter algorit

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Zhao, Yue, Adeline Bernard, Christian Cachard, and Hervé Liebgott. "Biopsy Needle Localization and Tracking Using ROI-RK Method." Abstract and Applied Analysis 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/973147.

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ROI-RK method is a biopsy needle localization and tracking method. Previous research work has proved that it has a robust performance on different series of simulated 3D US volumes. Unfortunately, in real situations, because of the strong speckle noise of the ultrasound image and the different echogenic properties of the tissues, the real 3D US volumes have more complex background than the simulated images used previously. In this paper, to adapt the ROI-RK method in real 3D US volumes, a line-filter enhancement calculation only in the ROI is added to increase the contrast between the needle a

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Mufida, Widya. "Analisis Letak Tracking Di Area Arteri Carotis Interna Dan Arcus Aorta Pada Pemeriksaan Cta Cerebral Di Instalasi Radiologi RSUD Salatiga." Jurnal Imejing Diagnostik (JImeD) 8, no. 1 (2022): 75–79. http://dx.doi.org/10.31983/jimed.v8i1.7899.

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Background: In the CTA examination of cerebral angiography at the Radiology Installation of Salatiga Hospital, the flow rate used was 5 ml/s, bolus tracking contrast media was placed in 2 different places, some radiographers used the internal carotid artery and some used the aortic arch as an indicator of ROI tracking. Image acquisition is done by adjusting the scan delay post injection of contrast media and pre bolus tracking, so that the difference in the placement of the tracking affects the scan delay time and the dose given to the patient. The purpose of this study is to determine the loc

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ZHANG, JING, LI ZHUO, and YINGDI ZHAO. "REGION OF INTEREST DETECTION BASED ON VISUAL PERCEPTION MODEL." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 02 (2012): 1255005. http://dx.doi.org/10.1142/s0218001412550051.

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According to human vision theory, the image is conveyed from human visual system to brain when people have a look at. Different from previous work, the study reported in this paper attempts to simulate a more real and complex method for region of interest (ROI) detection and quantitatively analyze the correlation between users' visual perception and ROI. In this paper, a visual perception model-based ROI detection is proposed, which can be realized with an ordinary web camera. Visual perception model employs a combination of visual attention model and gaze tracking data to objectively detect R

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Tanaka, Midori, Matteo Paolo Lanaro, Takahiko Horiuchi, and Alessandro Rizzi. "Random Spray Retinex Extensions Considering Region of Interest and EyeMovements." Electronic Imaging 2020, no. 15 (2020): 60403–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.15.color-349.

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The Random spray Retinex (RSR) algorithm was developed by taking into consideration the mathematical description of Milano-Retinex. The RSR substituted random paths with random sprays. Mimicking some characteristics of the human visual system (HVS), this article proposes two variants of RSR adding a mechanism of region of interest (ROI). In the first proposed model, a cone distribution based on anatomical data is considered as ROI. In the second model, the visual resolution depending on the visual field based on the knowledge of visual information processing is considered as ROI. We have measu

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Tanaka, Midori, Matteo Paolo Lanaro, Takahiko Horiuchi, and Alessandro Rizzi. "Random Spray Retinex Extensions Considering Region of Interest and Eye Movements." Journal of Imaging Science and Technology 63, no. 6 (2019): 60403–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2019.63.6.060403.

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Abstract The Random spray Retinex (RSR) algorithm was developed by taking into consideration the mathematical description of Milano-Retinex. The RSR substituted random paths with random sprays. Mimicking some characteristics of the human visual system (HVS), this article proposes two variants of RSR adding a mechanism of region of interest (ROI). In the first proposed model, a cone distribution based on anatomical data is considered as ROI. In the second model, the visual resolution depending on the visual field based on the knowledge of visual information processing is considered as ROI. We h

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G., Prashanth Kumar., and Vamsi Krishna Reddy G. "Hand Gesture Recognition for Differently Abled People with Message Integration." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 1432–35. https://doi.org/10.35940/ijeat.D7353.049420.

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The objective of this paper is to utilize a webcam to lively track the region of interest (ROI), in particular, the hand locale, in the picture extend and recognize hand motion, we use skin colour discovery and also morphology to delete the unnecessary background information from the picture, and afterward use foundation subtraction to recognize the ROI. Next, to stay away from foundation effects on items or commotion influencing the ROI, we utilize the kernelized connection channels (KCF) calculation to follow the identified ROI. The picture size of the ROI is at that point resized to 28x28 a

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Md Rakibul Karim Akanda, Joshua Reynolds, Treylin Jackson, and Milijah Gray. "Machine learning based object tracking." World Journal of Advanced Engineering Technology and Sciences 11, no. 1 (2024): 048–55. http://dx.doi.org/10.30574/wjaets.2024.11.1.0021.

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Machine learning based object detection as well as tracking that object have been performed in this paper. The authors were able to set a range of interest (ROI) around an object using Open Computer Vision, better known as OpenCV. Next a tracking algorithm has been used to maintain tracking on an object while simultaneously operating two servo motors to keep the object centered in the frame. Detailed procedure and code are included in this paper.

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Yousefi, Bardia, Hossein Memarzadeh Sharifipour, Mana Eskandari, et al. "Incremental Low Rank Noise Reduction for Robust Infrared Tracking of Body Temperature during Medical Imaging." Electronics 8, no. 11 (2019): 1301. http://dx.doi.org/10.3390/electronics8111301.

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Thermal imagery for monitoring of body temperature provides a powerful tool to decrease health risks (e.g., burning) for patients during medical imaging (e.g., magnetic resonance imaging). The presented approach discusses an experiment to simulate radiology conditions with infrared imaging along with an automatic thermal monitoring/tracking system. The thermal tracking system uses an incremental low-rank noise reduction applying incremental singular value decomposition (SVD) and applies color based clustering for initialization of the region of interest (ROI) boundary. Then a particle filter t

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Chung, Yao-Liang, Hung-Yuan Chung, and Wei-Feng Tsai. "Hand gesture recognition via image processing techniques and deep CNN." Journal of Intelligent & Fuzzy Systems 39, no. 3 (2020): 4405–18. http://dx.doi.org/10.3233/jifs-200385.

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In the present study, we sought to enable instant tracking of the hand region as a region of interest (ROI) within the image range of a webcam, while also identifying specific hand gestures to facilitate the control of home appliances in smart homes or issuing of commands to human-computer interaction fields. To accomplish this objective, we first applied skin color detection and noise processing to remove unnecessary background information from the captured image, before applying background subtraction for detection of the ROI. Then, to prevent background objects or noise from influencing the

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Lee, Dongkyu ‘Roy’, Sanghong Kim, Namkyung Yoon, Wonki Seo, and Hwangnam Kim. "A Multi-Stage Approach to UAV Detection, Identification, and Tracking Using Region-of-Interest Management and Rate-Adaptive Video Coding." Applied Sciences 14, no. 13 (2024): 5559. http://dx.doi.org/10.3390/app14135559.

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The drone industry has opened its market to ordinary people, making drones prevalent in daily life. However, safety and security issues have been raised as the number of accidents rises (e.g., losing control and colliding with people or invading secured properties). For safety and security purposes, observers and surveillance systems must be aware of UAVs invading aerial spaces. This paper introduces a UAV tracking system with ROI-based video coding capabilities that can efficiently encode videos with a dynamic coding rate. The proposed system initially uses deep learning-based UAV detection t

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Wynn, Leslie. "Tracking Tool Helps Deliver ROI from Early-Stage Design Insights." Design Management Review 29, no. 2 (2018): 32–43. http://dx.doi.org/10.1111/drev.12126.

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Rehman, Bacha, Wee Hong Ong, Abby Chee Hong Tan, and Trung Dung Ngo. "Face detection and tracking using hybrid margin-based ROI techniques." Visual Computer 36, no. 3 (2019): 633–47. http://dx.doi.org/10.1007/s00371-019-01649-y.

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Yen, Shwu-Huey, Chun-Hui Wang, and Jui-Chen Chien. "Accurate and robust ROI localization in a camshift tracking application." Multimedia Tools and Applications 74, no. 23 (2014): 10291–312. http://dx.doi.org/10.1007/s11042-014-2167-z.

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Pearson, Stephen J., Tim Ritchings, and Ahmad S. A. Mohamed. "The Use of Normalized Cross-Correlation Analysis for Automatic Tendon Excursion Measurement in Dynamic Ultrasound Imaging." Journal of Applied Biomechanics 29, no. 2 (2013): 165–73. http://dx.doi.org/10.1123/jab.29.2.165.

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The work describes an automated method of tracking dynamic ultrasound images using a normalized cross-correlation algorithm, applied to the patellar and gastrocnemius tendon. Displacement was examined during active and passive tendon excursions using B-mode ultrasonography. In the passive test where two regions of interest (2-ROI) were tracked, the automated tracking algorithm showed insignificant deviations from relative zero displacement for the knee (0.01 ± 0.04 mm) and ankle (–0.02 ± 0.04 mm) (P> .05). Similarly, when tracking 1-ROI the passive tests showed no significant differences (P

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Yates, Kirsty. "Managing, tracking and evaluating coaching part 2: where could you be?" Industrial and Commercial Training 47, no. 2 (2015): 95–98. http://dx.doi.org/10.1108/ict-08-2014-0058.

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Purpose – The purpose of this paper is to offer a number of recommendations that will enable you to get your hands around the coaching that is taking place inside your organisation so that you can manage it better and, moreover, calculate the commercial and cultural returns your organisation is achieving from the coaching in light of research presented in the author's previous article. Design/methodology/approach – This research is based on a case study. Findings – Although not an easy task, it is possible to evaluate the impact of coaching and, in turn, calculate the return on investment (ROI

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Saragih Sumbayak, Dede Febrian, Muhammad Baihaqi Siregar, Deni Adha Akbari, Rizki Edmi Edison, and Evta Indra. "ANALISIS ATENSI VISUAL CALON MAHASISWA PADA BROSUR PERGURUAN TINGGI MENGGUNAKAN METODE EYE TRACKING." Jurnal Teknik Informasi dan Komputer (Tekinkom) 7, no. 1 (2024): 425. https://doi.org/10.37600/tekinkom.v7i1.1365.

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The purpose of the research is to analyze the figures presented in the E-Brochure of the Faculty of Science and Technology at Prima Indonesia using the eye movement patterns of prospective students, to find out if the people displayed represent each study program. The problem is in the 2022 to 2023 academic year was a decrease in the new students by 30%, especially in the Faculty of Science and Technology. Therefore, more specific research must be carried out on the use of E-Brochures to improve the quality of promotions. The visual attention patterns of 80 prospective students were recorded u

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Jin, Miao, Tianfu Huang, Chuning Peng, Xiwen Chen, and Yanli Zhang. "A Lightweight Pedestrian Tracking Target Detection Algorithm." Journal of Internet Technology 26, no. 3 (2025): 399–405. https://doi.org/10.70003/160792642025052603012.

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In recent years, pedestrian detection and tracking has been widely used in the fields of multimedia, computer vision and pattern recognition. Most of the traditional pedestrian tracking algorithms directly use the pixel level features in each frame of the image sequence in the video to calculate, ignoring the deep semantic feature information contained in each image, resulting in inaccurate or wrong positioning. Moreover, the traditional algorithm has a large number of parameters, high complexity and poor real-time performance. This paper proposes a new lightweight object detection algorithm R

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Masi, Enrico, Nhu Toan Nguyen, Eugenio Monari, Marcello Valori, and Rocco Vertechy. "Marker-Based Safety Functionality for Human–Robot Collaboration Tasks by Means of Eye-Tracking Glasses." Machines 13, no. 2 (2025): 122. https://doi.org/10.3390/machines13020122.

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Human–robot collaboration (HRC) remains an increasingly growing trend in the robotics research field. Despite the widespread usage of collaborative robots on the market, several safety issues still need to be addressed to develop industry-ready applications exploiting the full potential of the technology. This paper focuses on hand-guiding applications, proposing an approach based on a wearable device to reduce the risk related to operator fatigue or distraction. The methodology aims at ensuring operator’s attention during the hand guidance of a robot end effector in order to avoid injuries. T

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Wang, Ruizhou, and Heng Wu. "Design and Test of a Spatial Nanopositioner for Evaluating the Out-of-Focus-Plane Performance of Micro-Vision." Micromachines 14, no. 3 (2023): 513. http://dx.doi.org/10.3390/mi14030513.

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Micro-vision possesses high in-focus-plane motion tracking accuracy. Unfortunately, out-of-focus-plane displacements cannot be avoided, decreasing the in-focus-plane tracking accuracy of micro-vision. In this paper, a spatial nanopositioner is proposed to evaluate the out-of-focus-plane performance of a micro-vision system. A piezoelectric-actuated spatial multi-degree-of-freedom (multi-DOF) nanopositioner is introduced. Three in-plane Revolute-Revolute-Revolute-Revolute (RRRR) compliant parallel branched chains produce in-focus-plane motions. Three out-of-plane RRRR chains generate out-of-foc

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YUN, BYOUNG-JU, JOONG-HOON CHO, and JAE-WOO JEONG. "REAL-TIME OBJECT TRACKING IN MOVING CAMERA." International Journal of Information Acquisition 03, no. 01 (2006): 61–67. http://dx.doi.org/10.1142/s0219878906000836.

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Moving object tracking plays an important role in applications of object based video conference, video surveillance and so on. The computational complexity is very important in real-time object tracking. We assumed that the background scene is obtained before an object appears in the image and a camera moves after the object is detected. The proposed method can segment an object by using the difference image if there is no camera motion. After camera motion, it can track the object by using the backward BMA (block matching algorithm) with the HFM (human figure model). For real-time tracking, w

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Juliantara, I. Putu Eka, and Angga Pratama. "The Use of HU Thresholding in Carotid-Cerebral CT Angiography: A Qualitative Study." Journal of Applied Health Management and Technology 5, no. 2 (2023): 35–40. http://dx.doi.org/10.31983/jahmt.v5i2.9575.

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Background: CT scans with contrast media administration have been used to confirm the presence of pathology in the blood vessel of the brain. High accuracy and fast scanning time produced by CT scans make this modality the main choice in assessing aneurysm pathology in the brain. Technological advances and the development of CT-helical image acquisition techniques have enabled neuroradiologists to evaluate brain aneurysms in a short time. Magnetic resonance (MR) angiography has also been reported to be useful in the diagnosis of brain aneurysms, but it is generally more time-consuming than 3D

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Fernández‐Berni, J., R. Carmona‐Galán, R. Río, and Á. Rodríguez‐Vázquez. "High dynamic range adaptation for ROI tracking based on reconfigurable concurrent dual‐sensing." Electronics Letters 50, no. 24 (2014): 1832–34. http://dx.doi.org/10.1049/el.2014.3136.

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Boumediene, Mohammed, Jean-Philippe Lauffenburger, Jeremie Daniel, Christophe Cudel, and Abdelaziz Ouamri. "Multi-ROI Association and Tracking With Belief Functions: Application to Traffic Sign Recognition." IEEE Transactions on Intelligent Transportation Systems 15, no. 6 (2014): 2470–79. http://dx.doi.org/10.1109/tits.2014.2320536.

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Kainz, Ondrej, Matúš Dopiriak, Miroslav Michalko, František Jakab, and Ivana Nováková. "Traffic Monitoring from the Perspective of an Unmanned Aerial Vehicle." Applied Sciences 12, no. 16 (2022): 7966. http://dx.doi.org/10.3390/app12167966.

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The paper is focused on the development of the experimental web-based solution for image processing from the perspective of an Unmanned Aerial Vehicle (UAV). Specifically, the research is carried out as part of the broader study on drone utilization in traffic at the Technical University of Kosice. This contribution explores the possibility of using the UAV as a tool to detect the temporal state of the traffic in multiple locations. Road traffic analysis is enabled through the detection of vehicles from the user-defined region of interest (ROI). Its content then serves as the input for motion

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Bao, Jianjun, Haibo Wang, Chen Lv, Ke Luo, and Xiaolin Shen. "IOU-Guided Siamese Tracking." Mathematical Problems in Engineering 2021 (October 1, 2021): 1–10. http://dx.doi.org/10.1155/2021/9127092.

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Target tracking is currently a hot research topic in machine vision. The traditional target tracking algorithm based on the generative model selects target features manually, which has a simple structure and fast running speed, but it cannot meet the requirements of algorithm accuracy in complex scenes. Compared with traditional algorithms, due to the good performance, the tracking method based on full convolutional network has become one of the important methods of target tracking. However, the RPN-based Siamese network lacks positional reliability when predicting the target area. Aiming at t

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Boutsi, A. M., N. Bakalos, and C. Ioannidis. "POSE ESTIMATION THROUGH MASK-R CNN AND VSLAM IN LARGE-SCALE OUTDOORS AUGMENTED REALITY." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2022 (May 18, 2022): 197–204. http://dx.doi.org/10.5194/isprs-annals-v-4-2022-197-2022.

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Abstract. Deep Learning (DL) ingrained into Mobile Augmented Reality (MAR) enables a new information-delivery paradigm. In the context of 6 DoF pose estimation, powerful DL networks could provide a direct solution for AR systems. However, their concurrent operation requires a significant number of computations per frame and yields to both misclassifications and localization errors. In this paper, a hybrid and lightweight solution on 3D tracking of arbitrary geometry for outdoor MAR scenarios is presented. The camera pose information obtained by ARCore SDK and vSLAM algorithm is combined with t

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Jiang, Shenlu, Wei Yao, Zhonghua Hong, Ling Li, Cheng Su, and Tae-Yong Kuc. "A Classification-Lock Tracking Strategy Allowing a Person-Following Robot to Operate in a Complicated Indoor Environment †." Sensors 18, no. 11 (2018): 3903. http://dx.doi.org/10.3390/s18113903.

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Person-following technology is an important robot service. The major trend of person-following is to utilize computer vision technology to localize the target person, due to the wide view and rich information that is obtained from the real world through a camera. However, most existing approaches employ the detecting-by-tracking strategy, which suffers from low speed, accompanied with more complicated detecting models and unstable region of interest (ROI) outputs in unexpressed situations. In this paper, we propose a novel classification-lock strategy to localize the target person, which incor

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Li, Bin, Shi Qiu, Wei Jiang, Wei Zhang, and Mingnan Le. "A UAV Detection and Tracking Algorithm Based on Image Feature Super-Resolution." Wireless Communications and Mobile Computing 2022 (February 9, 2022): 1–8. http://dx.doi.org/10.1155/2022/6526684.

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UAV is difficult to detect by visual methods at a long distance, so a UAV detection and tracking algorithm is proposed based on image super-resolution. Firstly, a saliency transformation algorithm is built to focus on the suspected area. Then, a generative adversarial network is established on the basis of ROI to realize the super-resolution of weak targets and restore the high-resolution details of target features. Finally, the cooperative attention module is built to recognize and track UAV. Our experiments show that the proposed algorithm has strong robustness.

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Wang, Yi, Zhengxiang He, and Liguan Wang. "Truck Driver Fatigue Detection Based on Video Sequences in Open-Pit Mines." Mathematics 9, no. 22 (2021): 2908. http://dx.doi.org/10.3390/math9222908.

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Due to complex background interference and weak space–time connection, traditional driver fatigue detection methods perform poorly for open-pit truck drivers. For these issues, this paper presents a driver fatigue detection method based on Libfacedetection and an LRCN. The method consists of three stages: (1) using a face detection module with a tracking method to quickly extract the ROI of the face; (2) extracting and coding the features; (3) combining the coding model to build a spatiotemporal classification network. The innovation of the method is to utilize the spatiotemporal features of t

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Khamis, Hanan, Sara Shimoni, Andreas Hagendorff, Nahum Smirin, Zvi Friedman, and Dan Adam. "Feasibility of reproducible vendor independent estimation of cardiac function based on first generation speckle tracking echocardiography." Journal of Biomedical Engineering and Informatics 2, no. 2 (2015): 57. http://dx.doi.org/10.5430/jbei.v2n2p57.

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Background: The clinical approval of speckle tracking echocardiography (STE) as an accepted measure of myocardial strain and of LV function is hindered by the discordance of the results among the vendors. Since echocardiography images are noisy, the measured displacements are smoothed or regularized, an operation affecting the strain results. We introduce an “Error-dependent weighted speckle tracking” (EWST) algorithm that allows sensitivity analysis to the different operations affecting noise and accuracy. The aim here was to study whether by modifying the properties of the post block-matchin

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Kim, Ji-Hyeon, Jooyoung Lee, and Hoon-Hee Park. "A Study on the Tracking of Count-Based Volumetric Changes in Nuclear Medicine Imaging." Korean Journal of Nuclear Medicine Technology 28, no. 1 (2024): 57–69. https://doi.org/10.12972/kjnmt.20240009.

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Purpose: Quantitative analysis through count measurement in nuclear medicine planar images is limited by analysis techniques that are useful for obtaining various clinical information or by organ overlap or artifacts in actual clinical practice. On the other hand, the use of SPECT tomography images is quantitative analysis using volume rather than planar, which is not only free from problems such as projection overlap, but also has excellent quantitative accuracy. In the use of developing SPECT quantitative analysis technology, this study aims to compare the accuracy of quantitative analysis b

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Bharadwaj, Rakhi, Ayush Billade, Srinivas Chenna, Akshat Chandrapatle, and Girish Chinchalpalle. "Wrong Way Vehicle Detection in Single and Double Lane." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 6s (2023): 457–62. http://dx.doi.org/10.17762/ijritcc.v11i6s.6953.

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Wrong-way driving is one of the primary causes of traffic jams and accidents globally. It is possible to identify vehicles going the wrong direction, which lessens accidents and traffic congestion. Surveillance footage has become an important source of data due to the accessibility of less priced cameras and the expanding use of real-time traffic management systems. In this paper, we propose a technique for automatically identifying automobiles moving against traffic. Our system uses the You Only Look Once (CNN) algorithm to recognize and track vehicles from video inputs and the centroid track

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Verma, Ashutosh. "A Comparative Study of Ad Attribution Models: Evaluating the Impact on ROI Measurement." European Journal of Computer Science and Information Technology 13, no. 35 (2025): 56–75. https://doi.org/10.37745/ejcsit.2013/vol13n355675.

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This article examines the critical relationship between ad attribution modeling and return on investment measurement in digital advertising. Through comparative analysis of prominent attribution methodologies—including last-click, first-click, multi-touch, and data-driven models—the article investigates how attribution choice fundamentally shapes ROI calculations and subsequent marketing decisions. The findings suggest that single-touch models systematically misrepresent customer journeys and distort ROI calculations despite their implementation simplicity. Multi-touch and algorithmic approach

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Jeong, Hyo-Won, Joo-Young Ha, Hag-Yong Han, Hoon-Gee Yang, and Bong-Soon Kang. "Face Region Tracking Improvement and Hardware Implementation for AF(Auto Focusing) Using Face to ROI." Journal of the Korean Institute of Information and Communication Engineering 14, no. 1 (2010): 89–96. http://dx.doi.org/10.6109/jkiice.2010.14.1.089.

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WATANABE, Daisuke, Kenji ONO, and Xizoyang MAO. "Identificatio of ROI in 3D Flow Field Using Eye Tracking Data and Autormatic Streamline Placement." Journal of the Visualization Society of Japan 27, Supplement2 (2007): 119–20. http://dx.doi.org/10.3154/jvs.27.supplement2_119.

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Wang, Zhao, and Jun Ohya. "An Algorithm for Tracking Guitarists’ Fingertips Based on CNN-Segmentation and ROI Associated Particle Filter." Journal of Imaging Science and Technology 63, no. 2 (2019): 20506–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2019.63.2.020506.

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40

Abdul-Kreem, Luma Issa, and Hussam K. Abdul-Ameer. "Object tracking using motion flow projection for pan-tilt configuration." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 5 (2020): 4687. http://dx.doi.org/10.11591/ijece.v10i5.pp4687-4694.

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We propose a new object tracking model for two degrees of freedom mechanism. Our model uses a reverse projection from a camera plane to a world plane. Here, the model takes advantage of optic flow technique by re-projecting the flow vectors from the image space into world space. A pan-tilt (PT) mounting system is used to verify the performance of our model and maintain the tracked object within a region of interest (ROI). This system contains two servo motors to enable a webcam rotating along PT axes. The PT rotation angles are estimated based on a rigid transformation of the the optic flow ve

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Luma, Issa Abdul-Kreem, and K. Abdul-Ameer Hussam. "Object tracking using motion flow projection for pan-tilt configuration." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 5 (2020): 4687–94. https://doi.org/10.11591/ijece.v10i5.pp4687-4694.

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We propose a new object tracking model for two degrees of freedom mechanism. Our model uses a reverse projection from a camera plane to a world plane. Here, the model takes advantage of optic flow technique by re-projecting the flow vectors from the image space into world space. A pan-tilt (PT) mounting system is used to verify the performance of our model and maintain the tracked object within a region of interest (ROI). This system contains two servo motors to enable a webcam rotating along PT axes. The PT rotation angles are estimated based on a rigid transfor- mation of the the optic flow

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Liu, Haolin, Ye Han, Daniel Emerson, Yoed Rabin, and Levent Burak Kara. "A data-driven approach for real-time soft tissue deformation prediction using nonlinear presurgical simulations." PLOS ONE 20, no. 4 (2025): e0319196. https://doi.org/10.1371/journal.pone.0319196.

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A method that allows a fast and accurate registration of digital tissue models obtained during preoperative, diagnostic imaging with those captured intraoperatively using lower-fidelity ultrasound imaging techniques is presented. Minimally invasive surgeries are often planned using preoperative, high-fidelity medical imaging techniques such as MRI and CT imaging. While these techniques allow clinicians to obtain detailed 3D models of the surgical region of interest (ROI), various factors such as physical changes to the tissue, changes in the body’s configuration, or apparatus used during the s

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Leipold, Vanda, Ivana Alerić, Mihaela Mlinarić, et al. "Optimizing Choice of Skin Surrogates for Surface-Guided Stereotactic Body Radiotherapy of Lung Lesions Using Four-Dimensional Computed Tomography." Cancers 16, no. 13 (2024): 2358. http://dx.doi.org/10.3390/cancers16132358.

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Image-guided radiotherapy supported by surface guidance can help to track lower lung lesions’ respiratory motion while reducing a patient’s exposure to ionizing radiation. However, it is not always clear how the skin’s respiratory motion magnitude and its correlation with the lung lesion’s respiratory motion vary between different skin regions of interest (ROI). Four-dimensional computed tomography (4DCT) images provide information on both the skin and lung respiratory motion and are routinely acquired for the purpose of treatment planning in our institution. An analysis of 4DCT images for 57

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Dhaliwal, Pawandeep Kaur. "An Implementation of Non-Contact Respiratory Monitoring System with Advanced Nasal-Mandible Tracking Algorithm with Roi." International Journal for Research in Applied Science and Engineering Technology V, no. VIII (2017): 409–15. http://dx.doi.org/10.22214/ijraset.2017.8057.

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Zhao, Yue, Christian Cachard, and Hervé Liebgott. "Automatic Needle Detection and Tracking in 3D Ultrasound Using an ROI-Based RANSAC and Kalman Method." Ultrasonic Imaging 35, no. 4 (2013): 283–306. http://dx.doi.org/10.1177/0161734613502004.

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Hu, Kun, Wenjing Yang, Wanrong Huang, et al. "Sequential Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 11 (2024): 12519–27. http://dx.doi.org/10.1609/aaai.v38i11.29145.

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Regarded as a template-matching task for a long time, visual object tracking has witnessed significant progress in space-wise exploration. However, since tracking is performed on videos with substantial time-wise information, it is important to simultaneously mine the temporal contexts which have not yet been deeply explored. Previous supervised works mostly consider template reform as the breakthrough point, but they are often limited by additional computational burdens or the quality of chosen templates. To address this issue, we propose a Space-Time Consistent Transformer Tracker (STCFormer

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Xu, Ziyi, Quchao Wang, Duo Li, Menghan Hu, Nan Yao, and Guangtao Zhai. "Estimating Departure Time Using Thermal Camera and Heat Traces Tracking Technique." Sensors 20, no. 3 (2020): 782. http://dx.doi.org/10.3390/s20030782.

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Advancement in science and technology is playing an increasingly important role in solving difficult cases at present. Thermal cameras can help the police crack difficult cases by capturing the heat trace on the ground left by perpetrators, which cannot be spotted by the naked eye. Therefore, the purpose of this study is to establish a thermalfoot model using thermal imaging system to estimate the departure time. To this end, in the current work, we use a thermal camera to acquire the thermal sequence left on the floor, and convert it into the heat signal via image processing algorithm. We est

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Feng, Guofu, Hao Zhang, and Ming Chen. "Greenhouse Ventilation Equipment Monitoring for Edge Computing." Applied Sciences 14, no. 8 (2024): 3378. http://dx.doi.org/10.3390/app14083378.

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Digital twins based on real-world scenarios are heavily reliant on extensive on-site data, representing a significant investment in information technology. This study aims to maximize the capabilities of visual sensors, like cameras in controlled-environment agriculture, by acquiring more target-specific information at minimal additional cost. This approach not only reduces investment but also increases the utilization rate of existing equipment. Utilizing YOLOv7, this paper introduces a system with rotatable pan-tilt cameras for the comprehensive monitoring of large-scale greenhouse ventilati

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Charles, Pranob K., S. K. Jasmine Sultana, P. Hemalatha, and E. Keerti. "Multiple Person Detection and Tracking using Convolutional Neural Network." International Journal of Advance Research and Innovation 8, no. 2 (2020): 48–54. http://dx.doi.org/10.51976/ijari.822008.

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Tracking multiple persons is a challenging task when persons move in groups and occlude each other. Existing group based methods have extensively investigated how to make group division more accurate in a tracking-by-detection framework. However, few of them quantify the group dynamics or consider the group in a dynamic view. Inspired by the sociological properties of pedestrians, this work proposes a network that tracks the moving persons.This work uses CNN algorithm by extracting the ROI based HOG features to track more accurately without any interference and to obtain a robust free result.

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Maier, Mathias, Ali Nasseri, Carsten Framme, et al. "Die intraoperative optische Kohärenztomografie in der Netzhaut-Glaskörper-Chirurgie. Aktuelle Erfahrungen und Ausblick auf künftige Entwicklungsschritte." Klinische Monatsblätter für Augenheilkunde 235, no. 09 (2017): 1028–34. http://dx.doi.org/10.1055/s-0043-106304.

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Zusammenfassung Hintergrund Die hochauflösende optische Kohärenztomografie (OCT) ermöglicht eine kontrastreiche Bildgebung von Mikrostrukturen, die mit konventioneller Bildgebung nicht so detailliert darstellbar waren. Wir berichten über unsere Erfahrungen beim Einsatz der intraoperativen OCT (iOCT) in der vitreoretinalen Chirurgie. Methoden 110 Patienten mit vitreoretinalen Erkrankungen (Makulaforamen, epiretinale Membranen, vitreomakulärem Traktionssyndrom, Ablatio und Glaskörperblutung) wurden unter Visualisierung mit dem im Mikroskop integrierten iOCT-Gerät operiert. Ergebnisse Das iOCT li

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