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Cited by 241

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

An EM-like algorithm for color-histogram-based object tracking

Zivkovic, Z., Krose, B.·2004·Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.
DOI 10.1109/cvpr.2004.1315113
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Abstract

The iterative procedure called 'mean-shift' is a simple robust method for finding the position of a local mode (local maximum) of a kernel-based estimate of a density function. A new robust algorithm is given here that presents a natural extension of the 'mean-shift' procedure. The new algorithm simultaneously estimates the position of the local mode and the covariance matrix that describes the approximate shape of the local mode. We apply the new method to develop a new 5-degrees of freedom (DOF) color histogram based non-rigid object tracking algorithm.

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Metadata

Authors
Zivkovic, Z., & Krose, B.
Venue
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.
Publisher
IEEE
Published
2004-11-12
Volume
1
Pages
798-803
ISSN
1063-6919 (ISSN-L)
DOI
10.1109/cvpr.2004.1315113
OpenAlex
W2127850685
Cited by
241
References
4
FWCI
16.03
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: An EM-like algorithm for color-histogram-based object tracking. https://app.cochat.ai/papers/10.1109/cvpr.2004.1315113
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Zivkovic, Z., & Krose, B. (2004). An EM-like algorithm for color-histogram-based object tracking. Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. https://doi.org/10.1109/cvpr.2004.1315113

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