<title>Multitarget tracking system using texture</title>

Abstract

A new method to detect and track non-rigid moving objects against a moving background is presented. In order to discriminate objects from background optical flow based segmentation methods are not appropriate for the case of non-rigid as they have non-uniform optical flow. The proposed method uses optical flow nd texture similarity to discriminate objects from the background. A well-known algorithm from neural networks, Kohonen's self-organizing maps, was adapted to measure the texture similarity.