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Video anomaly detection based on wake motion descriptors and perspective grids
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Leyva, Roberto, Sanchez Silva, Victor and Li, Chang-Tsun (2014) Video anomaly detection based on wake motion descriptors and perspective grids. In: 2014 IEEE International Workshop on Information Forensics and Security (WIFS), Atlanta, Georgia, 3-5 Dec 2014. Published in: 2014 IEEE International Workshop on Information Forensics and Security (WIFS) pp. 209-214. doi:10.1109/WIFS.2014.7084329
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Official URL: http://dx.doi.org/10.1109/WIFS.2014.7084329
Abstract
This paper proposes a video anomaly detection method based on wake motion descriptors. The method analyses the motion characteristics of the video data, on a video volume- by-video volume basis, by computing the wake left behind by moving objects in the scene. It then probabilistically identifies those never previously seen motion patterns in order to detect anomalies. The method also considers the perspective of the scene to compensate for the relative change in an object’s size introduced by the camera’s view angle. To this end, a perspective grid is proposed to define the size of video volumes for anomaly detection. Evaluation results against several state-of-the-art methods show that the proposed method attains high detection accuracies and competitive computational time.
| Item Type: | Conference Item (Lecture) | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
| Divisions: | Faculty of Science > Computer Science | ||||
| Library of Congress Subject Headings (LCSH): | Image processing -- Digital techniques, Video surveillance, Anomaly detection (Computer security) | ||||
| Journal or Publication Title: | 2014 IEEE International Workshop on Information Forensics and Security (WIFS) | ||||
| Publisher: | IEEE | ||||
| Official Date: | 2014 | ||||
| Dates: |
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| Page Range: | pp. 209-214 | ||||
| DOI: | 10.1109/WIFS.2014.7084329 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Embodied As: | 1 | ||||
| Conference Paper Type: | Lecture | ||||
| Title of Event: | 2014 IEEE International Workshop on Information Forensics and Security (WIFS) | ||||
| Type of Event: | Workshop | ||||
| Location of Event: | Atlanta, Georgia | ||||
| Date(s) of Event: | 3-5 Dec 2014 | ||||
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