An immunological approach to raising alarms in video surveillance
Sasmita, Lukman, Liu, Wanquan and Venkatesh, Svetha 2005, An immunological approach to raising alarms in video surveillance, GESTS international transactions on computer science and engineering, vol. 2, pp. 191-199.
Attached Files
Name
Description
MIMEType
Size
Downloads
Title
An immunological approach to raising alarms in video surveillance
GESTS international transactions on computer science and engineering
Volume number
2
Start page
191
End page
199
Total pages
9
Publisher
Global Engineering, Science, and Technology Society
Publication date
2005
ISSN
1738-6438
Summary
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 detectors for detecting abnormal activity are generated 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.
Language
eng
Field of Research
080104 Computer Vision
Socio Economic Objective
890205 Information Processing Services (incl. Data Entry and Capture)
Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.