Object tracking based on harmony search: comparative study

Ming-Liang Gao; Xiaohai He; Daisheng Luo; Yan-Mei Yu

doi:10.1117/1.JEI.21.4.043001

1 October 2012 Object tracking based on harmony search: comparative study

Ming-Liang Gao, Xiaohai He, Daisheng Luo, Yan-Mei Yu

Author Affiliations +

Journal of Electronic Imaging, Vol. 21, Issue 4, 043001 (October 2012). https://doi.org/10.1117/1.JEI.21.4.043001

Abstract

Visual tracking can be treated as an optimization problem. A new meta-heuristic optimal algorithm, Harmony Search (HS), was first applied to perform visual tracking by Fourie et al. As the authors point out, many subjects are still required in ongoing research. Our work is a continuation of Fourie's study, with four prominent improved variations of HS, namely Improved Harmony Search (IHS), Global-best Harmony Search (GHS), Self-adaptive Harmony Search (SHS) and Differential Harmony Search (DHS) adopted into the tracking system. Their performances are tested and analyzed on multiple challenging video sequences. Experimental results show that IHS is best, with DHS ranking second among the four improved trackers when the iteration number is small. However, the differences between all four reduced gradually, along with the increasing number of iterations.

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Ming-Liang Gao, Xiaohai He, Daisheng Luo, and Yan-Mei Yu "Object tracking based on harmony search: comparative study," Journal of Electronic Imaging 21(4), 043001 (1 October 2012). https://doi.org/10.1117/1.JEI.21.4.043001

Published: 1 October 2012

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