Harmony filter: A robust visual tracking system using the improved harmony search algorithm

被引：46
作者：
Fourie, Jaco [1 ,2 ]
Mills, Steven [2 ]
Green, Richard [1 ]
机构：
[1] Univ Canterbury, Christchurch 1, New Zealand
[2] Geospatial Res Ctr NZ Ltd, Christchurch, New Zealand
来源：
IMAGE AND VISION COMPUTING | 2010年 / 28卷 / 12期
关键词：
Visual tracking; Harmony search algorithm; Soft computing; Evolutionary algorithm 2000 MSC: 68T45; ENGINEERING OPTIMIZATION;
D O I：
10.1016/j.imavis.2010.05.006
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this article a novel approach to visual tracking called the harmony filter is presented. It is based on the Harmony Search algorithm, a derivative free meta-heuristic optimisation algorithm inspired by the way musicians improvise new harmonies. The harmony filter models the target as a colour histogram and searches for the best estimated target location using the Bhattacharyya coefficient as a fitness metric. Experimental results show that the harmony filter can robustly track an arbitrary target in challenging conditions. We compare the speed and accuracy of the harmony filter with other popular tracking algorithms including the particle filter and the unscented Kalman filter. Experimental results show the harmony filter to be faster and more accurate than both the particle filter and the unscented Kalman filter. (c) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码：1702 / 1716
页数：15
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