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
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;
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2003. Proceedings. IEEE Conference on
Print_ISBN :
0-7695-1971-7
DOI :
10.1109/AVSS.2003.1217925