A Robust Hand Tracking Approach Based on Modified Tracking-Learning-Detection Algorithm

被引：3
|
作者：
Shi, Haibin [1 ]
Lin, Zhanjian [1 ]
Tang, Weiwei [1 ]
Liao, Bruce [2 ]
Wang, Jolly [2 ]
Zheng, Lingxiang [1 ]
机构：
[1] Xiamen Univ, Sch Informat Sci & Engn, Xiamen 361005, Peoples R China
[2] Intel China Co Ltd, Shanghai 200241, Peoples R China
来源：
MULTIMEDIA AND UBIQUITOUS ENGINEERING | 2014年 / 308卷
关键词：
Back Projection; Tracking-Learning-Detection; Hand Tracking;
D O I：
10.1007/978-3-642-54900-7_2
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Hand tracking is an essential step for dynamic gesture recognition which catches a lot of attention in the field of gesture interaction. In this paper, we present a robust hand tracking approach for unconstrained videos based on modified Tracking-Learning-Detection (TLD) algorithm, named BP-TLD. By introducing a skin color feature to the model, we make the algorithm more suitable for hand tracking. The experimental results show that BP-TLD has a better performance compared with other tracking algorithms such as TLD, MSEPF and Handvu. It indicates that our approach can meet the requirements of robustness and real-time better for the frontal-view vision-based human computer interactions.
引用
收藏
页码：9 / 15
页数：7
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