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, Z. 
Li, L.
Issue Date: 2005
Source: Zhang, H.,Huang, W.,Huang, Z.,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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