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 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.

• Type: Conference
• Year: 2006
• Where: ICPR
• Authors: Carmen E. Au, James J. Clark, Sandra Skaff
• Keywords: Anomalous Images, Compression-based Similarity Measure, Computer Vision, ICPR 2006, Storage Resource Demands