An Improved Gesture Tracking Algorithm Based On Depth Image Information

被引：0
|
作者：
Yang Quan [1 ]
机构：
[1] Xian Univ Arts & Sci, Software Inst, Xian 710065, Peoples R China
来源：
PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND ELECTRONICS INFORMATION (ICACSEI 2013) | 2013年 / 41卷
关键词：
Depth image; Kinect; DI_CamShift; sign language gesture 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：
An improved Depth Image CamShift (DI_CamShift) algorithm is proposed to realize the accurate tracking of gestures in the sign language video. First, it used Kinect to obtain the depth image information of sign language gestures. Then it adjusted the search window by calculated spindle direction angle and mass center position of the depth images. Finally, the calculation of minimum depth information value in the search window was used to determine the target gesture area. Experiments results show that the algorithm has good robustness and can effectively track the sign language gestures.
引用
收藏
页码：257 / 260
页数：4
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