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
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.273
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||