Share Email Print

Journal of Electronic Imaging

Object tracking based on harmony search: comparative study
Author(s): Ming-Liang Gao; Xiaohai He; Daisheng Luo; Yan-Mei Yu
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 1 October 2012
PDF: 13 pages
J. Electron. Imaging. 21(4) 043001 doi: 10.1117/1.JEI.21.4.043001
Published in: Journal of Electronic Imaging Volume 21, Issue 4
Show Author Affiliations
Ming-Liang Gao, Sichuan Univ. (China)
Xiaohai He, Sichuan Univ. (China)
Daisheng Luo, Sichuan Univ. (China)
Yan-Mei Yu, Sichuan Univ. (China)

© SPIE. Terms of Use
Back to Top