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A Study on Multiple Target Tracking Using Self-Organizing Neural Network  

서창진 (성덕대학 컴퓨터정보계열)
김광백 (신라대학교 컴퓨터공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.7, no.6, 2003 , pp. 1304-1311 More about this Journal
Abstract
Target tracking in a real world situation is difficult problem because of continuous variations in images, huge amounts of data, and high processing speed demands. The problem becomes even harder in the case of sea background. This paper presents an initial study of neural network based method for target detection and tracking in cluttering environment. The approach uses a combination of differential motion analysis, Kohonen self-organizing network and region growing method. The network is capable of detecting the mass-centers 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 showed promising results.
Keywords
Automatic Targer Tracking; Artificial Neural Network;
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