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.
History
Chapter number
11
Pagination
79-86
ISSN
0302-9743
ISBN-13
9783540239857
ISBN-10
3540239855
Language
eng
Publication classification
B1.1 Book chapter
Copyright notice
2004, Springer-Verlag Berlin Heidelberg
Extent
96
Editor/Contributor(s)
Aizawa K, Nakamura Y, Satoh S
Publisher
Springer-Verlag
Place of publication
Berlin, Germany
Title of book
Advances in multimedia information processing - PCM 2004 : 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30 - December 3, 2004 ; part III