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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

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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:
DateEvent
2014Published
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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