An image-tracking algorithm based on object center distance-weighting and image feature recognition

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  • Department of Electronic Engineering, Fudan University, Shanghai 200433, China;

Published date: 05 Mar 2007

Abstract

A real-time image-tracking algorithm is proposed, which gives small weights to pixels farther from the object center and uses the quantized image gray scales as a template. It identifies the target s location by the mean-shift iteration method and arrives at the target s scale by using image feature recognition. It improves the kernel-based algorithm in tracking scale-changing targets. A decimation method is proposed to track large-sized targets and real-time experimental results verify the effectiveness of the proposed algorithm.

Cite this article

JIANG Shuhong, WANG Qin, ZHANG Jianqiu, HU Bo . An image-tracking algorithm based on object center distance-weighting and image feature recognition[J]. Frontiers of Electrical and Electronic Engineering, 2007 , 2(1) : 1 -7 . DOI: 10.1007/s11460-007-0001-3

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