ARTICULATED HUMAN POSE TRACKING BASED ON GAME THEORY

被引：0
|
作者：
Liu, Chenguang [1 ]
Cheng, Hengda [1 ]
Allan, Vicki H. [1 ]
机构：
[1] Utah State Univ, Dept Comp Sci, Logan, UT 84322 USA
来源：
2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013) | 2013年
关键词：
Articulated human pose tracking; Game theory; Normal form game; Nash equilibrium;
D O I：
暂无
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
Human pose tracking is among the most popular hotspots in the field of computer vision. In this paper, we propose a novel game theory based method for tracking two dimensional articulated human poses in monocular video sequences. A new probability scheme of game theory is introduced into human pose tracking to find optimal solutions of human poses. The possible limb positions are modeled as strategies of agents who play normal form game with adjacent agents. Likelihood measurements and distance constraints are applied to calculate the payoffs of each of the strategies. Finally, the Nash equilibria are found for each normal form game and the human poses are estimated based on them. In the experiments, the effectiveness and efficiency of the proposed algorithm is fully exhibited.
引用
收藏
页码：2553 / 2556
页数：4
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