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» Detecting and Tracking Moving Objects for Video Surveillance
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CRV
2005
IEEE
272views Robotics» more  CRV 2005»
13 years 9 months ago
Real-Time Video Surveillance with Self-Organizing Maps
In this paper, we present an approach for video surveillance involving (a) moving object detection, (b) tracking and (c) normal/abnormal event recognition. The detection step uses...
Mohamed Dahmane, Jean Meunier
CVPR
1999
IEEE
14 years 9 months ago
Bayesian Multi-Camera Surveillance
The task of multi-camera surveillance is to reconstruct the paths taken by all moving objects that are temporarily visible from multiple non-overlapping cameras. We present a Baye...
Vera Kettnaker, Ramin Zabih
CVPR
2003
IEEE
14 years 28 days ago
Continuous Tracking Within and Across Camera Streams
This paper presents a new approach for continuous tracking of moving objects observed by multiple, heterogeneous cameras. Our approach simultaneously processes video streams from ...
Jinman Kang, Isaac Cohen, Gérard G. Medioni
CIDM
2007
IEEE
14 years 2 months ago
Prediction of Abnormal Behaviors for Intelligent Video Surveillance Systems
–The OBSERVER is a video surveillance system that detects and predicts abnormal behaviors aiming at the intelligent surveillance concept. The system acquires color images from a ...
Duarte Duque, Henrique Santos, Paulo Cortez
ICAPR
2009
Springer
14 years 2 months ago
Saving Electrical Power in a Surveillance Environment
—This paper proposes a smart video surveillance system with real-time moving object (primarily human) detection and identification for solving the problem of excessive power con...
Souvik Sen, Amit Kumar Das, Shyama Prosad Chowdhur...