Anomaly Detection for Video Surveillance Applications

Anomaly Detection for Video Surveillance Applications

We investigate the problem of anomaly detection for video surveillance applications. In our approach, we use a compression-based similarity measure to determine similarity between images in a video sequence. Images that are sufficiently dissimilar are deemed anomalous and stored to be compared again...

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Bibliographic Details
Published in:18th International Conference on Pattern Recognition (ICPR'06) Vol. 4; pp. 888 - 891
Main Authors: Au, C.E., Skaff, S., Clark, J.J.
Format: Conference Proceeding
Language:English
Published: IEEE 2006
Subjects:
Cameras
Gold
Image coding
Image recognition
Image storage
Layout
Security
Size measurement
Video sequences
Video surveillance
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Description
Summary:We investigate the problem of anomaly detection for video surveillance applications. In our approach, we use a compression-based similarity measure to determine similarity between images in a video sequence. Images that are sufficiently dissimilar are deemed anomalous and stored to be compared against subsequent images in the sequence. The goal of our research is two-fold; in addition to detecting anomalous images, the issue of heavy computational and storage resource demands is addressed
ISBN:0769525210
9780769525211
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2006.273