Affine object tracking with kernel-based spatial-color representation

Please use this identifier to cite or link to this item: https://doi.org/10.1109/CVPR.2005.65

Title:	Affine object tracking with kernel-based spatial-color representation
Authors:	Zhang, H. Huang, W. HUANG ZHIYONG Li, L.
Issue Date:	2005
Citation:	Zhang, H., Huang, W., HUANG ZHIYONG, Li, L. (2005). Affine object tracking with kernel-based spatial-color representation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 1 : 293-300. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPR.2005.65
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. © 2005 IEEE.
Source Title:	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
URI:	http://scholarbank.nus.edu.sg/handle/10635/41025
ISBN:	0769523722
ISSN:	10636919
DOI:	10.1109/CVPR.2005.65
Appears in Collections:	Staff Publications

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