INTRUDER DETECION SYSTEM USING IMAGE PROCESSING
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Abstract
this paper describes a knowledge-based vision system for analyzing image sequences resulting from a perimeter intrusion detection system (PIDS). In this paper, the effectiveness of this method in eliminating these erroneous factors is shown. That is, a change of image is detected, as an intruder candidate, using a histogram of the differences between the reference image and the observation image. These detected differences are further determined to be an intruder using a circumscribed rectangle, a number, an area, and the center of gravity. First, the problems in outdoor image processing and our basic policies are shown. Then, the algorithms to solve these problems are described. The performance of this method in field tests is also shown.
Keywords: Image Processing, perimeter intrusion detection system (PIDS))
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