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A Study on Multiple Target Tracking Using Adaptive Neural Network and Mosaic Background Extraction  

서창진 (성덕대학 컴퓨터정보계열)
양황규 (동서대학교 인터넷공학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.7, no.8, 2003 , pp. 1802-1808 More about this Journal
Abstract
In this paper, we propose a method about the extraction of the pedestrian tracking trajectory in the road and we used the method of mosaic background extraction and adaptive neural network for automatic pedestrian tracking system. We used mosaic background extraction to overcome ghost phenomenon. And we detected pedestrian using differential image analysis. We used adaptive neural network for multiple pedestrian tracking that non­rigid form moving. The ART2 network is capable of detecting the mass­centers of moving objects within one frame. The history of neurons positions in the sequential frames approximates the traces of the targets. The experiments done with the network in simulated environment show promising results.
Keywords
Automatic Targer Tracking; Artificial Neural Network;
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