Title :
Multiple target tracking in clutter backgrounds using self-organizing feature map
Author :
Cha, Eui Young ; Kang, Myung Ho
Author_Institution :
Dept. of Comput. Sci., Pusan Nat. Univ., South Korea
Abstract :
Target tracking in a real world situation is a difficult problem because of continuous variations in images, huge amount 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 the 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 neuron positions in the sequential frames approximates the traces of the targets. The experiments done with the network in simulated environment showed promising results
Keywords :
image sequences; motion estimation; object recognition; self-organising feature maps; target tracking; Kohonen self-organizing feature map; clutter backgrounds; differential motion analysis; image sequences; moving object detection; multiple target tracking; neural network; region growing method; target detection; High speed optical techniques; Image motion analysis; Motion analysis; Neural networks; Noise shaping; Object detection; Optical computing; Pixel; Shape; Target tracking;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.685937