One Hand Tracking Algorithm Based on Behavioral Model of Grasping Object and Particle Filter

被引：0
|
作者：
Gao, Jian [1 ,3 ]
Feng, Zhiquan [2 ,3 ]
Song, Xianhui [2 ,3 ]
机构：
[1] QingDao Univ Sci & Technol, Qingdao 266000S, Peoples R China
[2] Univ Jinan, Sch Informat Sci & Engn, Jinan 250022, Peoples R China
[3] Shandong Prov Key Lab Network based Intelligent C, Jinan 250022, Peoples R China
来源：
PROGRESS IN MECHATRONICS AND INFORMATION TECHNOLOGY, PTS 1 AND 2 | 2014年 / 462-463卷
关键词：
Grasping; Joint; Motion constraint; Polynomial law; Particle filter;
D O I：
10.4028/www.scientific.net/AMM.462-463.230
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel human hand tracking algorithm based on a single-view camera is put forward. First, we remove the deformity gesture before tracking employing hand physical constraint and motion constraint. Second, we get data from digital glove in the process of hand grasping object, then we obtain the polynomial law of joint motion by analyzing the data to reduce the dimension. Finally, we fuse the behavioral model and optimized particle filter to improve the result of tracking. The innovation of this paper is to establish the behavioral model of grasping object. The experiments show that the proposed algorithm can track movement of hand accurately and quickly.
引用
收藏
页码：230 / +
页数：2
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