Research of a real-time hand tracking algorithm

被引：0
|
作者：
Zhai, HT [1 ]
Wu, XJ [1 ]
Han, H [1 ]
机构：
[1] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China
来源：
PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND BRAIN, VOLS 1-3 | 2005年
关键词：
Human Computer Interaction; CAMSHIFT; skin probability distribution model; hand tracking;
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：
Gesture analysis is an important region in HCI (Human Computer Interaction) technology, hand tracking is a key step of gesture analysis. A modified CAMSHIFT (Continuously Adaptive Mean Shift) algorithm is presented in this paper, which can track hand In real time. Considering the hand motion and skin color probability distribution all together, we put forwards the modified algorithm, which enhances anti-noise ability, avoids distracters, it also deals well with shelter problem. Finally it Improves the tracking precision. Experiment results show this algorithm is fast, accurate, and robust. It can be used in other region tracking special color.
引用
收藏
页码：1233 / 1235
页数：3
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