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18th International Conference on Pattern Recognition (ICPR'06) Volume 4
Anomaly Detection for Video Surveillance Applications
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Carmen E. Au, McGill University, Montreal, Canada
Sandra Skaff, McGill University, Montreal, Canada
James J. Clark, McGill University, Montreal, Canada
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.
Citation:
Carmen E. Au, Sandra Skaff, James J. Clark, "Anomaly Detection for Video Surveillance Applications," icpr, vol. 4, pp.888-891, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006
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