Affine Object Tracking with Kernel-Based Spatial-Color Representation

Authors:
Haihong Zhang;Weimin Huang;Zhiyong Huang;Liyuan Li
Affiliations:
Institute of Infocomm Research and National University of Singapore;Institute of Infocomm Research;National University of Singapore;Institute of Infocomm Research
Venue:
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Year:
2005

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Abstract

This paper presents a new visual tracking method that can achieve accurate estimation of affine transformation and precise spatial-color representation. The estimation of transformation provides more information than translation for better motion understanding and also helps maintain the precise representation; the precise representation enables tracking objects in highly-cluttered environment. The basis of the method is a kernel-based similarity measure called affine matching that describes the relationship between image regions with respect to affine transformation parameters. Based on the similarity measure, a mathematical solution is derived for estimating the transformation parameters for moving objects in videos. Various experiments have yielded positive results.