An edge-based moving object detection for video surveillance

Authors:
M. Julius Hossain;Oksam Chae
Affiliations:
Department of Computer Engineering, Kyung Hee University, Kyunggi-do, Korea;Department of Computer Engineering, Kyung Hee University, Kyunggi-do, Korea
Venue:
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Year:
2005

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Abstract

We present a novel approach for extracting moving objects, suitable for intrusion detection and video surveillance systems. Proposed method is characterized by robustness to illumination changes, acclimation to the changes in constituents of background and significantly reduced false alarm rate. We extract pieces of edge information from images and represent these segments with efficiently designed edge classes. Proposed algorithm for matching and updating of edges incorporates the robustness and resilience to intrusion detection system, which is illustrated by the results of our experiments.