Multimodal Abandoned/Removed Object Detection for Low Power Video Surveillance Systems
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Localized detection of abandoned luggage
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
Design of a hierarchical group to realize a scalable group
Journal of Mobile Multimedia
Visual surveillance using less ROIs of multiple non-calibrated cameras
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Effective distributed service architecture for ubiquitous video surveillance
Information Systems Frontiers
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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. This 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.