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Human detection in surveillance videos and its applications - a review
2013
EURASIP Journal on Advances in Signal Processing
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A comprehensive review with comparisons on available techniques for detecting human beings in surveillance videos is presented in this paper. ...
Detecting human beings accurately in a visual surveillance system is crucial for diverse application areas including abnormal event detection, human gait characterization, congestion analysis, person identification ...
Software tools such as MFC BGS Library x86 1.3.0 or self-implemented tools can be used for such comparative studies. ...
doi:10.1186/1687-6180-2013-176
fatcat:hucglmedkrffxdvyo4fi7lthqa
Multi-view 3D human pose estimation combining single-frame recovery, temporal integration and model adaptation
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
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We present a system for the estimation of unconstrained 3D human upper body movement from multiple cameras. ...
We demonstrate that our approach outperforms the state-of-the-art in experiments with large and challenging real-world data from an outdoor setting. ...
The exemplars in the library are organized in a (4-level) template tree following [12, 29, 35] , see Figure 2 . ...
doi:10.1109/cvpr.2009.5206508
dblp:conf/cvpr/HofmannG09
fatcat:ydw46hqxezefdke2t6rgp7zs3u
Multi-view 3D human pose estimation combining single-frame recovery, temporal integration and model adaptation
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
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We present a system for the estimation of unconstrained 3D human upper body movement from multiple cameras. ...
We demonstrate that our approach outperforms the state-of-the-art in experiments with large and challenging real-world data from an outdoor setting. ...
The exemplars in the library are organized in a (4-level) template tree following [12, 29, 35] , see Figure 2 . ...
doi:10.1109/cvprw.2009.5206508
fatcat:x3dgpe57qjc6jj6lkfi3b5mi7i
Literature Survey on Multi-Camera System and Its Application
2020
IEEE Access
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This technique requires an update of the model for every change in the video scene. Also, it is generally employed in a fixed multi-camera tracking setup [94] . ...
The approach avoids joint state-space rendition to prevent tedious and complex joint data union. The method has a better approach for an online real-time tracking application. ...
doi:10.1109/access.2020.3024568
fatcat:j4lupf5ftzflbhvubbv7ppvdh4
Pedestrian Models for Autonomous Driving Part I: Low-Level Models, From Sensing to Tracking
2020
IEEE transactions on intelligent transportation systems (Print)
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This self-contained Part I covers the lower levels of this stack, from sensing, through detection and recognition, up to tracking of pedestrians. ...
Technologies at these levels are found to be mature and available as foundations for use in high-level systems, such as behaviour modelling, prediction and interaction control. ...
In [175] , both camera and lidar data are used to improve people tracking. e) MTT with Scene Understanding: Scene understanding can provide contextual information and scene structure for the tracking ...
doi:10.1109/tits.2020.3006768
fatcat:awa5dgk4rbazteetyyqrndbgxq
Pedestrian Models for Autonomous Driving Part I: low level models, from sensing to tracking
[article]
2020
arXiv
pre-print
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This self-contained Part I covers the lower levels of this stack, from sensing, through detection and recognition, up to tracking of pedestrians. ...
Technologies at these levels are found to be mature and available as foundations for use in higher level systems such as behaviour modelling, prediction and interaction control. ...
In [176] , both camera and lidar data are used to improve people tracking. e) MTT With Scene Understanding: Scene understanding can provide contextual information and scene structure for the tracking ...
arXiv:2002.11669v1
fatcat:fgg5j5jdwrbujjgtj2uhgrx2am
Compact Scrutiny of Current Video Tracking System and its Associated Standard Approaches
2020
International Journal of Advanced Computer Science and Applications
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Overall, this paper offers an unbiased picture of the current state of video tracking approaches to be considered for developing any upcoming model. ...
The prime aim of this paper is to study all the prominent approaches of video tracking system which has been evolved till date in various literatures. ...
In this work, SVM is used for dual purpose, i.e., performing linear classification and state-based structure classification where applicability increases over complex video scenes. ...
doi:10.14569/ijacsa.2020.0111249
fatcat:vw5v4vogzjb3jixurtmny3znp4
Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective
2022
ACM Computing Surveys
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Furthermore, we analyze the solutions for challenging cases, such as the lack of data, the inherent ambiguity between 2D and 3D, and the complex multi-person scenarios. ...
Estimation of the human pose from a monocular camera has been an emerging research topic in the computer vision community with many applications. ...
FUTURE DIRECTIONS • Pose Estimation for Complex Postures and Crowed Scenes. In daily life, the human body may make various complex or rare postures. ...
doi:10.1145/3524497
fatcat:4pbvntngrnfp7lqhcpjmy7p2fq
A Taxonomy of Vision Systems for Ground Mobile Robots
2014
International Journal of Advanced Robotic Systems
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Firstly, a thorough review of the papers is proposed to discuss and classify both past and the most current approaches in the field. ...
The article offers a global picture of the state of the art in the area and discovers some promising research lines. ...
Human tracking is considered as a particular application area for target tracking. ...
doi:10.5772/58900
fatcat:ydrtcuwnbrbhdgjxmw3rhfa7oi
ExoMars Rover PanCam: Autonomous & Computational Intelligence [Application Notes]
2013
IEEE Computational Intelligence Magazine
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., SPACE-X, Kayser-Threde, Aberystwyth University, Joanneum Research, Surrey Space Centre and MSSL for their contributions to this project. ...
approach for multi-disciplinary applications in the aerospace industry. ...
A template of object classes is stored and updated in the Environment Model Library (EML) upon successful detection of the object in question, so as to increase the identification speed of similar objects ...
doi:10.1109/mci.2013.2279561
fatcat:wdvv4fizh5hfdoemsh4mrsshqa
A Review: Point Cloud-Based 3D Human Joints Estimation
2021
Sensors
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The existing works are divided into three categories based on their working principles, including template-based method, feature-based method and machine learning-based method. ...
Joint estimation of the human body is suitable for many fields such as human–computer interaction, autonomous driving, video analysis and virtual reality. ...
Acknowledgments: Valuable feedback and suggestions for improvements of this paper from Qiang Wang and Zhongqi Pan are gratefully acknowledged. ...
doi:10.3390/s21051684
pmid:33804411
fatcat:diyzwhge5fb5tpnq6q75nimj7m
Transforming Intangible Folkloric Performing Arts into Tangible Choreographic Digital Objects: The Terpsichore Approach
2017
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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In this paper, we present at a high-level an approach for transforming intangible cultural assets, namely folk dances, into tangible choreographic digital objects. ...
The approach is being implemented in the context of the H2020 European project "Terpsichore". Doulamis A., Voulodimos A., Doulamis N., Soile S. and Lampropoulos A. ...
The authors would like to help all partners for their contribution and collaboration. ...
doi:10.5220/0006347304510460
dblp:conf/visapp/DoulamisVDSL17
fatcat:qbt67ifhujhnrl3b572fepiyi4
Tracking multiple humans in complex situations
2004
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Tracking multiple humans in complex situations is challenging. The difficulties are tackled with appropriate knowledge in the form of various models in our approach. ...
In the first part, we show how multiple human objects are segmented and their global motions are tracked in 3D using ellipsoid human shape models. ...
ACKNOWLEDGMENTS This work was done in USC/IRIS. This research was supported, in part, by the Advanced Research and Development Activity of the US Government under contract No. MDA-908-00-C-0036. ...
doi:10.1109/tpami.2004.73
pmid:15742895
fatcat:qogyeijabnhhhd3vgmadvyhnni
Multi-view 3D Human Pose Estimation in Complex Environment
2011
International Journal of Computer Vision
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We introduce a framework for unconstrained 3D human upper body pose estimation from multiple camera views in complex environment. ...
In the subsequent hypothesis verification stage, the candidate 3D poses are re-projected into the other camera views and ranked according to a multi-view likelihood measure. ...
Acknowledgements The authors would like to thank John Schavemaker (TNO) for stimulating discussions throughout this research. This research was in part funded by the MultimediaN project. ...
doi:10.1007/s11263-011-0451-1
fatcat:gad62w62k5adpflqa6l2udbxr4
MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D
2019
IEEE Access
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Additionally, the 3D geometry information is effectively incorporated in our formulation for data association. ...
In this work, we propose an adaptive model that learns online a relatively long-term appearance change of each target. ...
points in the scene for camera self-calibration [28] , [29] . ...
doi:10.1109/access.2019.2903121
fatcat:az2q5xmudbe5lmi47hd475zhey
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