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Reliable extraction of moving edge segments in the dynamic environment  

Ahn Ki-Ok (Mediachorus Inc.)
Lee June-Hyung (KyungHee University, Computer Engineering)
Chae Ok-Sam (KyungHee University, Computer Engineering)
Publication Information
Abstract
Recently, the IDS(Intrusion Detection System) using a video camera is an important part of the home security systems which start gaining popularity. However, the video intruder detection has not been widely used in the home surveillance systems due to its unreliable performance in the environment with abrupt illumination change. In this paper, we propose an effective moving edge extraction algerian from a sequence image. The proposed algorithm extracts edge segments from current image and eliminates the background edge segments by matching them with reference edge list, which is updated at every frame, to find the moving edge segments. The test results show that it can detect the contour of moving object in the noisy environment with abrupt illumination change.
Keywords
Moving Object Edge Extraction; Structured; Edge Matching;
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Times Cited By KSCI : 1  (Citation Analysis)
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