Abnormal events detection based on spatio-temporal co-occurences
Benezeth,Jodoin,Saligrama,Rosenberger +3 more
- pp 2458-2465
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This article is published in Computer Vision and Pattern Recognition.The article was published on 2009-01-01 and is currently open access. It has received 82 citations till now. The article focuses on the topics: Markov random field & Object detection.read more
Citations
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Proceedings ArticleDOI
Abnormal Event Detection at 150 FPS in MATLAB
Cewu Lu,Jianping Shi,Jiaya Jia +2 more
TL;DR: An efficient sparse combination learning framework based on inherent redundancy of video structures achieves decent performance in the detection phase without compromising result quality and reaches high detection rates on benchmark datasets at a speed of 140-150 frames per second on average.
Proceedings ArticleDOI
Sparse reconstruction cost for abnormal event detection
Yang Cong,Junsong Yuan,Ji Liu +2 more
TL;DR: The method provides a unified solution to detect both local abnormal events and global abnormal events through a sparse reconstruction over the normal bases and extends it to support online abnormal event detection by updating the dictionary incrementally.
Journal ArticleDOI
Video-Based Abnormal Human Behavior Recognition—A Review
Oluwatoyin P. Popoola,Kejun Wang +1 more
TL;DR: The main purpose of this survey is to extensively identify existing methods and characterize the literature in a manner that brings key challenges to attention.
Journal ArticleDOI
Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes
TL;DR: It is shown that the proposed novel technique, characterised by a cascade of two cascaded classifiers, performs comparable to current top-performing detection and localization methods on standard benchmarks, but outperforms those in general with respect to required computation time.
Proceedings ArticleDOI
Video anomaly detection based on local statistical aggregates
Venkatesh Saligrama,Zhu Chen +1 more
TL;DR: A key insight of the paper is that if anomalies are local optimal decision rules are local even when the nominal behavior exhibits global spatial and temporal statistical dependencies, this insight helps collapse the large ambient data dimension for detecting local anomalies.
References
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Face recognition: A literature survey
TL;DR: In this paper, the authors provide an up-to-date critical survey of still-and video-based face recognition research, and provide some insights into the studies of machine recognition of faces.
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Learning patterns of activity using real-time tracking
Chris Stauffer,W.E.L. Grimson +1 more
TL;DR: This paper focuses on motion tracking and shows how one can use observed motion to learn patterns of activity in a site and create a hierarchical binary-tree classification of the representations within a sequence.
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The recognition of human movement using temporal templates
Aaron F. Bobick,James W. Davis +1 more
TL;DR: A view-based approach to the representation and recognition of human movement is presented, and a recognition method matching temporal templates against stored instances of views of known actions is developed.
Journal ArticleDOI
W/sup 4/: real-time surveillance of people and their activities
TL;DR: W/sup 4/ employs a combination of shape analysis and tracking to locate people and their parts and to create models of people's appearance so that they can be tracked through interactions such as occlusions.
Journal ArticleDOI
A survey on visual surveillance of object motion and behaviors
TL;DR: This paper reviews recent developments and general strategies of the processing framework of visual surveillance in dynamic scenes, and analyzes possible research directions, e.g., occlusion handling, a combination of two and three-dimensional tracking, and fusion of information from multiple sensors, and remote surveillance.