Relevant bibliographies by topics / Outdoor scene analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Outdoor scene analysis'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Outdoor scene analysis"

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Ruan, Ling, Ling Zhang, Yi Long, and Fei Cheng. "Coordinate references for the indoor/outdoor seamless positioning." Proceedings of the ICA 1 (May 16, 2018): 1–7. http://dx.doi.org/10.5194/ica-proc-1-97-2018.

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Indoor positioning technologies are being developed rapidly, and seamless positioning which connected indoor and outdoor space is a new trend. The indoor and outdoor positioning are not applying the same coordinate system and different indoor positioning scenes uses different indoor local coordinate reference systems. A specific and unified coordinate reference frame is needed as the space basis and premise in seamless positioning application. Trajectory analysis of indoor and outdoor integration also requires a uniform coordinate reference. However, the coordinate reference frame in seamless
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Kilawati, Andi, and Rosmalah Yanti. "Hubungan Outdor Activity dengan Scene Setting dalam Skill Mengajar Pembelajaran IPA Mahasiswa PGSD Universitas Cokroaminoto Palopo." Cokroaminoto Journal of Primary Education 2, no. 1 (2019): 6–10. http://dx.doi.org/10.30605/cjpe.122019.100.

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This study generally aims to determine the relationship of outdoor activity with Scene Settings in Elementary School Science Learning PGSD University Students Cokroaminoto Palopo. This research is a quantitative research. The research model used in this study is the correlational model. This research hypothesis was tested using two-way analysis of variance (ANAVA). The sample of this study was PGSD University Cokroaminoto Palopo University. The results of this study indicate that: (1) there is a positive relationship between outdoor activities and scene settings (2) there is a positive positiv
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Musel, Benoit, Louise Kauffmann, Stephen Ramanoël, et al. "Coarse-to-fine Categorization of Visual Scenes in Scene-selective Cortex." Journal of Cognitive Neuroscience 26, no. 10 (2014): 2287–97. http://dx.doi.org/10.1162/jocn_a_00643.

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Neurophysiological, behavioral, and computational data indicate that visual analysis may start with the parallel extraction of different elementary attributes at different spatial frequencies and follows a predominantly coarse-to-fine (CtF) processing sequence (low spatial frequencies [LSF] are extracted first, followed by high spatial frequencies [HSF]). Evidence for CtF processing within scene-selective cortical regions is, however, still lacking. In the present fMRI study, we tested whether such processing occurs in three scene-selective cortical regions: the parahippocampal place area (PPA
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CHAN, K. L. "VIDEO-BASED GAIT ANALYSIS BY SILHOUETTE CHAMFER DISTANCE AND KALMAN FILTER." International Journal of Image and Graphics 08, no. 03 (2008): 383–418. http://dx.doi.org/10.1142/s0219467808003155.

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A markerless human gait analysis system using uncalibrated monocular video is developed. The background model is trained for extracting the subject silhouette, whether in static scene or dynamic scene, in each video frame. Generic 3D human model is manually fit to the subject silhouette in the first video frame. We propose the silhouette chamfer, which contains the chamfer distance of silhouette and region information, as one matching feature. This, combined dynamically with the model gradient, is used to search for the best fit between subject silhouette and 3D model. Finally, we use the disc
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Tylecek, Radim, and Robert Fisher. "Consistent Semantic Annotation of Outdoor Datasets via 2D/3D Label Transfer." Sensors 18, no. 7 (2018): 2249. http://dx.doi.org/10.3390/s18072249.

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The advance of scene understanding methods based on machine learning relies on the availability of large ground truth datasets, which are essential for their training and evaluation. Construction of such datasets with imagery from real sensor data however typically requires much manual annotation of semantic regions in the data, delivered by substantial human labour. To speed up this process, we propose a framework for semantic annotation of scenes captured by moving camera(s), e.g., mounted on a vehicle or robot. It makes use of an available 3D model of the traversed scene to project segmente
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Bielecki, Andrzej, and Piotr Śmigielski. "Three-Dimensional Outdoor Analysis of Single Synthetic Building Structures by an Unmanned Flying Agent Using Monocular Vision." Sensors 21, no. 21 (2021): 7270. http://dx.doi.org/10.3390/s21217270.

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An algorithm designed for analysis and understanding a 3D urban-type environment by an autonomous flying agent, equipped only with a monocular vision, is presented. The algorithm is hierarchical and is based on the structural representation of the analyzed scene. Firstly, the robot observes the scene from a high altitude to build a 2D representation of a single object and a graph representation of the 2D scene. The 3D representation of each object arises as a consequence of the robot’s actions, as a result of which it projects the object’s solid on different planes. The robot assigns the obtai
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Kuhnert, Lars, and Klaus-Dieter Kuhnert. "Sensor-Fusion Based Real-Time 3D Outdoor Scene Reconstruction and Analysis on a Moving Mobile Outdoor Robot." KI - Künstliche Intelligenz 25, no. 2 (2011): 117–23. http://dx.doi.org/10.1007/s13218-011-0093-z.

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SAKODA, Keishi, and Yamada ICHIRO. "Acoustic scene analysis of spatial and temporal distribution of sound arrival direction and frequency spectra." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 1 (2024): 10075–79. http://dx.doi.org/10.3397/in_2024_4386.

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In the outdoor monitoring of aircraft noise, not only the target aircraft sounds to be monitored arrive, but also various environmental sounds also arrive at the monitoring site, and the sound situation changes from moment to moment. The authors have studied and reported on a method to classify environmental sound sources and to evaluate the influence of environmental sounds on aircraft sound monitoring by analyzing the spatial-temporal distribution of sound arrival direction and sound level of various environmental sounds at the monitoring site as a sound scene. This paper will make a report
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Shi, Lei. "Unveiling the Impact of Air Pollution on Outdoor Training for Endurance and Explosive Power." International Journal of Ambient Computing and Intelligence 15, no. 1 (2025): 1–19. https://doi.org/10.4018/ijaci.386085.

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In recent years, air pollution impacts athletes during outdoor training, especially in endurance and explosive-power training. This paper uses the boundary image inverse optimization algorithm and dynamic scene three-dimensional analysis model to study this impact. First, it briefly introduces the algorithms' application in sports training and existing research. Then, by combining dynamic scene classification technology, it quantifies the training process and proposes an improved boundary image inverse optimization algorithm. Finally, it uses the 3D analysis model to classify the training proc
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He, Wei. "Research on Outdoor Garden Scene Reconstruction Based on PMVS Algorithm." Scientific Programming 2021 (November 24, 2021): 1–10. http://dx.doi.org/10.1155/2021/4491382.

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The three-dimensional reconstruction of outdoor landscape is of great significance for the construction of digital city. With the rapid development of big data and Internet of things technology, when using the traditional image-based 3D reconstruction method to restore the 3D information of objects in the image, there will be a large number of redundant points in the point cloud and the density of the point cloud is insufficient. Based on the analysis of the existing three-dimensional reconstruction technology, combined with the characteristics of outdoor garden scene, this paper gives the det
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Dissertations / Theses on the topic "Outdoor scene analysis"

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Hu, Sijie. "Deep multimodal visual data fusion for outdoor scenes analysis in challenging weather conditions." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPAST121.

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Les données visuelles multimodales peuvent fournir des informations différentes sur la même scène, améliorant ainsi la précision et la robustesse de l'analyse de scènes. Cette thèse se concentre principalement sur la façon d'utiliser efficacement les données visuelles multimodales telles que les images en couleur, les images infrarouges et les images de profondeur, et sur la façon de fusionner ces données visuelles pour une compréhension plus complète de l'environnement. Nous avons choisi la segmentation sémantique et la détection d'objets, deux tâches représentatives de la vision par ordinate
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Books on the topic "Outdoor scene analysis"

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Dellaert, Frank, Jan-Michael Frahm, Marc Pollefeys, Laura Leal-Taixé, and Bodo Rosenhahn, eds. Outdoor and Large-Scale Real-World Scene Analysis. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34091-8.

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Jan-Michael, Frahm, Pollefeys Marc, Leal-Taixé Laura, Rosenhahn Bodo, and SpringerLink (Online service), eds. Outdoor and Large-Scale Real-World Scene Analysis: 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26 - July 1, 2011. Revised Selected Papers. Springer Berlin Heidelberg, 2012.

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Pollefeys, Marc, Frank Dellaert, Bodo Rosenhahn, Laura Leal-Taixé, and Jan-Michael Frahm. Outdoor and Large-Scale Real-World Scene Analysis: 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26 - July 1, 2011. Revised Selected Papers. Springer Berlin / Heidelberg, 2012.

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Book chapters on the topic "Outdoor scene analysis"

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Payne, Andrew, and Sameer Singh. "A Benchmark for Indoor/Outdoor Scene Classification." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552499_78.

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Pillai, Ignazio, Riccardo Satta, Giorgio Fumera, and Fabio Roli. "Exploiting Depth Information for Indoor-Outdoor Scene Classification." In Image Analysis and Processing – ICIAP 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24088-1_14.

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Sato, Tomokazu, Masayuki Kanbara, and Naokazu Yokoya. "3-D Modeling of an Outdoor Scene from Multiple Image Sequences by Estimating Camera Motion Parameters." In Image Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45103-x_95.

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Trinh, Hoang-Hon, Dae-Nyeon Kim, Suk-Ju Kang, and Kang-Hyun Jo. "Building-Based Structural Data for Core Functions of Outdoor Scene Analysis." In Emerging Intelligent Computing Technology and Applications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04070-2_68.

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Ancuti, Codruta Orniana, Cosmin Ancuti, and Philippe Bekaert. "Single Image Restoration of Outdoor Scenes." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23678-5_28.

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Favorskaya Margarita and Levtin Konstantin. "Early Smoke Detection in Outdoor Space by Spatio-temporal Clustering using a Single Video Camera." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-105-2-1283.

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The early smoke detection in outdoor space concerns to a security sphere and is realized in landscape monitoring systems, in video surveillance systems near building, on bridges, ships, into tunnels and etc. We have suggested a novel video-based method of smoke detection by spatio-temporal clustering which involves three developing stages. The first stage connects with motion detection, the second stage is based on a color-texture analysis of moving regions, and the third stage is enhanced by a spatio-temporal clustering of moving regions with a turbulence parameter. A spatio-temporal volume d
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Conference papers on the topic "Outdoor scene analysis"

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Seon Joo Kim, Jan-Michael Frahm, and Marc Pollefeys. "Radiometric calibration with illumination change for outdoor scene analysis." In 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2008. http://dx.doi.org/10.1109/cvpr.2008.4587648.

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Lawton, Teri B. "Dynamic object-oriented scene analysis based on computational neurobiology." In OSA Annual Meeting. Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.wj5.

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The construction of robust object-oriented depth maps is fundamental to understanding the topography and motion of objects located within a given terrain. A computational vision system that is particularly novel in its approach has been developed; it creates object maps by using algorithms based on biological models. The success of this method is demonstrated by the speed and robustness of the results when the input consists of natural outdoor scenes, where the effects of terrain, shadows, scene illumination, reference landmarks, and scene complexity can be systematically explored. The perform
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Haga, T., K. Sumi, and Y. Yagi. "Human detection in outdoor scene using spatio-temporal motion analysis." In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. IEEE, 2004. http://dx.doi.org/10.1109/icpr.2004.1333770.

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Jinghua Ding, Sumana Das, Syed A. A. Kazmi, Navrati Saxena, and Syed Faraz Hasan. "An outdoor assessment of scene analysis for Wi-Fi based positioning." In 2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE). IEEE, 2014. http://dx.doi.org/10.1109/gcce.2014.7031095.

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Okutani, Keita, Takami Yoshida, Keisuke Nakamura, and Kazuhiro Nakadai. "Outdoor auditory scene analysis using a moving microphone array embedded in a quadrocopter." In 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012). IEEE, 2012. http://dx.doi.org/10.1109/iros.2012.6385994.

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Sun, Xiaotian. "The smell of the scene - Mapping the digital smell of scenes around Beijing." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001777.

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Smell is an sensation underrated in our life.In the culture dominated by vision, it is common to try to hide and deny the true smell of things.But smell may be the strongest and most interesting sensations humans possess: it is primitive, instinctive, sensual, and uncontrollable. We are surrounded by smells, they process through the air, and we cannot avoid perceiving them.We perceive the quality of things through smell, and we get thousands of messages from a large number of small particles that reach our nostrils . It communicates with people directly and exchanges information.Smell can reac
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Vrsnak, Donik, Ilija Domislovic, Marko Subasic, and Sven Loncaric. "Illuminant estimation error detection for outdoor scenes using transformers." In 2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA). IEEE, 2021. http://dx.doi.org/10.1109/ispa52656.2021.9552045.

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Zhan, KaiDi, Chengfa Gao, Dawei Xu, Minyi Lan, and Rongjing Ding. "A Method for Constructing Software and Hardware of a Multi-Source Fusion Intelligent Driving." In 2024 International Conference on Smart Transportation Interdisciplinary Studies. SAE International, 2025. https://doi.org/10.4271/2025-01-7158.

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<div class="section abstract"><div class="htmlview paragraph">To meet the requirements of high-precision and stable positioning for autonomous driving vehicles in complex urban environments, this paper designs and develops a multi-sensor fusion intelligent driving hardware and software system based on BDS, IMU, and LiDAR. This system aims to fill the current gap in hardware platform construction and practical verification within multi-sensor fusion technology. Although multi-sensor fusion positioning algorithms have made significant progress in recent years, their application and v
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Huang, Hun, Ge Gao, Ziyi Ke, Cheng Peng, and Ming Gu. "A Multi-Scenario Crowd Data Synthesis Based On Building Information Modeling." In The 29th EG-ICE International Workshop on Intelligent Computing in Engineering. EG-ICE, 2022. http://dx.doi.org/10.7146/aul.455.c223.

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Deep learning methods have proven to be effective in the field of crowd analysis recently. Nonetheless, the performance of deep learning models is affected by the inadequacy of training datasets. Because of policy implications and privacy restrictions, crowd data is commonly difficult to access. In order to overcome the difficulty of insufficient dataset, the previous work used to synthesize labelled crowd data in outdoor scenes and virtual games. However, these methods perform data synthesis with limited environmental information and inflexible crowd rules, usually in unauthentic environment.
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Zhou, Yuquan, Li Xu, Xiaoxuan Jiang, and Ao Yu. "The outdoor intelligent work space design based on kano model." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005432.

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In recent years, with increasing urbanization and the new coronavirus pneumonia epidemic (COVID-19), the social workplace is changing at an unprecedented rate. The epidemic has led to an increased focus on healthy and green design in the workplace, and outdoor workspaces are becoming an increasingly important part for businesses, employees, freelancers, and real estate developers. The impact of the epidemic has posed a huge challenge to traditional office space, with some companies abandoning their original office space. Increased competition for social careers and a growing number of members
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