An Immunological Approach to Raising Alarms in Video Surveillance

Inspired by the human immune system, and in particular the negative selection algorithm, we propose a learning mechanism that enables the detection of abnormal activities. Three types of detectors for detecting abnormal activity are developed using negative selection. Tracks gathered by people’s movements in a room are used for experimentation and results have shown that the classifier is able to discriminate abnormal from normal activities in terms of both trajectory and time spent at a location.

• Type: Conference
• Year: 2004
• Where: PCM
• Authors: Lukman Sasmita, Wanquan Liu, Svetha Venkatesh
• Keywords: Human Immune System, Multimedia, Negative Selection, Negative Selection Algorithm, PCM 2004