File(s) under permanent embargo
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.
History
Title of book
Advances in multimedia information processing - PCM 2004 : 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30 - December 3, 2004 ; part IIISeries
Lecture notes in computer science ; 3333Chapter number
11Pagination
79 - 86Publisher
Springer-VerlagPlace of publication
Berlin, GermanyPublisher DOI
ISSN
0302-9743ISBN-13
9783540239857ISBN-10
3540239855Language
engPublication classification
B1.1 Book chapterCopyright notice
2004, Springer-Verlag Berlin HeidelbergExtent
96Editor/Contributor(s)
K Aizawa, Y Nakamura, S SatohUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC