Title :
Detecting suspicious background changes in video surveillance of busy scenes
Author :
Gibbins, D. ; Newsam, G.N. ; Brooks, M.J.
Author_Institution :
Centre for Sensor Signal & Inf. Process., Signal Process. Res. Inst., Adelaide, SA, Australia
Abstract :
Detecting background changes in scenes containing significant numbers of moving objects has several applications in video surveillance. One important example is the detection of suspicious packages left in busy airport terminals or train stations. The paper outlines a statistical approach to automatically detecting long term changes to the stationary component of a scene, and describes a prototype system which has been used to successfully demonstrate the feasibility of this approach
Keywords :
image recognition; image sequences; surveillance; video recording; automatic detection; busy airport terminals; busy scenes; long term changes; moving objects; prototype system; stationary component; statistical approach; suspicious background change detection; suspicious packages; train stations; video surveillance; Airports; Image sequence analysis; Image sequences; Layout; Monitoring; Object detection; Packaging; Rail transportation; Signal processing; Video surveillance;
Conference_Titel :
Applications of Computer Vision, 1996. WACV '96., Proceedings 3rd IEEE Workshop on
Conference_Location :
Sarasota, FL
Print_ISBN :
0-8186-7620-5
DOI :
10.1109/ACV.1996.571990