DocumentCode
1809719
Title
Detecting abandoned packages in a multi-camera video surveillance system
Author
Beynon, Michael D. ; Van Hook, Daniel J. ; Seibert, Michael ; Peacock, Alen ; Dudgeon, Dan
Author_Institution
Lincoln Lab., MIT, Lexington, MA, USA
fYear
2003
fDate
21-22 July 2003
Firstpage
221
Lastpage
228
Abstract
We describe a video surveillance system that detects abandoned packages automatically. In this system, multiple cameras locate objects in space and time despite occlusions and distracting lighting effects observed by subsets of the cameras. A multiple-state model of an abandoned package provides the ability to detect realistic abandoned package events. The paper outlines the system by describing the modules for camera view segmentation, object classification, view-object association, 3D object tracking, and finally detection of the event of a package being abandoned, which highlights object association using multiple cameras and the multiple-state abandoned package model.
Keywords
hidden feature removal; image classification; image segmentation; object detection; optical tracking; surveillance; video signal processing; 3D object tracking; abandoned package detection; camera view segmentation; lighting effects; multi-camera video surveillance system; multiple-state model; object classification; occlusion compensation; occlusion detection; view-object association; Cameras; Event detection; Laboratories; Layout; Object detection; Packaging; Real time systems; Shape; Video surveillance; Videoconference;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Video and Signal Based Surveillance, 2003. Proceedings. IEEE Conference on
Print_ISBN
0-7695-1971-7
Type
conf
DOI
10.1109/AVSS.2003.1217925
Filename
1217925
Link To Document