Enhancing Human Pose Estimation with Temporal Clues

CASIA OpenIR > 智能感知与计算研究中心

	Enhancing Human Pose Estimation with Temporal Clues
	Jianliang Hao; Zhaoxiang Zhang; Yunhong Wang
	2014-11-07
会议名称	9th Chinese Conference on Biometric Recognition
会议录名称	CCBR 2014
会议日期	7-9 November 2014
会议地点	Shenyang, China
摘要	We address the challenging problem of human pose estimation, which can be adopted as a preprocessing step providing accurate and refined humanpose information for gait recognition and other applications. In this paper, we propose a method and augmented Pose-NMS to process the human pose estimation in the consecutive frames based on a reasonable assumption. The poses between the adjacent frames have small changes. Firstly we merge the multiple estimated pose candidates in a single frame to get the representative pose candidates. Then we propagate the final candidate backward and forward to increase the number of the confident candidates based on the Bayesian theory. We apply our method to the Buffy Video dataset and obtain the competitive result to the state-of-art.
关键词	Human Pose Estimation Augmented Pose-nms Temporal Clues
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13252
专题	智能感知与计算研究中心
通讯作者	Zhaoxiang Zhang
推荐引用方式 GB/T 7714	Jianliang Hao,Zhaoxiang Zhang,Yunhong Wang. Enhancing Human Pose Estimation with Temporal Clues[C],2014.