Visual Tracking Based on Adaptive Multi-Cue Integration

被引：0
|
作者：
Ma, Jiaqing [1 ]
Han, Chongzhao [1 ]
Yang, Yi [1 ]
机构：
[1] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China
来源：
FUSION: 2009 12TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4 | 2009年
关键词：
Visual tracking; mean shift; color cue; motion cue;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The traditional color-based mean shift tracking algorithm is unable to accurately track the object. To address the problems, this paper presents an improved tracking algorithm. The improved tracker integrates the color and motion cues which characterize the appearance and motion information of object respectively. During the tracking process, this integration strategy can dynamically adjust the weight of each visual cue according to their reliability, thus these two visual cues can complement each other and make for more precise target localization. The experimental results demonstrate that the proposed tracking algorithm improves the tracking performance of the traditional mean shift tracker in complicated real scenarios.
引用
收藏
页码：1737 / 1742
页数：6
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