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Face tracking based on differential harmony search

Authors :
Ming‐Liang Gao
Li‐Li Li
Xian‐Ming Sun
Dai‐Sheng Luo
Source :
IET Computer Vision, Vol 9, Iss 1, Pp 98-109 (2015)
Publication Year :
2015
Publisher :
Wiley, 2015.

Abstract

Owing to its significant roles in computer vision applications, human face tracking has drawn extensive attention in recent years. Most researchers solve face tracking using particle filter, meanshift and their derivatives. Unlike the traditional methods, in this study, face tracking is treated as an optimisation problem and a new meta‐heuristic optimisation algorithm, differential harmony search (DHS), is introduced to solve face tracking problems. We compare the speed and accuracy of the proposed method with particle filter, meanshift and improved harmony search. Experimental results show that DHS‐based tracker is faster and more accurate and it is easy to handle the parameters tuning. Furthermore, to improve the reliability of tracking, multiple visual cues are applied to DHS‐based tracking system and experimental results demonstrate the increased robustness achieved by fusing multiple cues.

Details

Language :
English
ISSN :
17519640 and 17519632
Volume :
9
Issue :
1
Database :
Directory of Open Access Journals
Journal :
IET Computer Vision
Publication Type :
Academic Journal
Accession number :
edsdoj.151d4e00e694a6492eb551c93e6f0f6
Document Type :
article
Full Text :
https://doi.org/10.1049/iet-cvi.2014.0035