Based-APF Human Motion Tracking from Monocular Videos

摘要：

In this paper, a novel method based on adaptive particle filter (APF) for tracking human motion in monocular videos is proposed. With an initial human skeleton joint point template, we use the probability density propagation of the particle filers through the model. This algorithm can automatically deal with tracking issues such as occlusion and auto-occlusion. Experimental results from 20 classes monocular videos show that the proposed method is robust and that the tracking results are good.

关键词： human motion video tracking monocular video particle filter

作者: Yi Ouyang Yun Ling Jianguo Xing

作者单位: College of Computer and Information Engineering,Zhejiamg Gongshang University Hangzhou, China 310018

会议类型: 国际会议

会议名称: 2009图像分析与信号处理国际会议(2009 International Conference on Image Analysis and Signal Processing)

会议地点: 浙江台州

会议语种:英文

页码: 179-183

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）