Human Activities Segmentation and Location of Key Frames Based on 3D Skeleton

摘要：

　　Human activities consist of multiple simple actions,and the temporal information benefit action recognition at all time scales.Considering energy information of human action as action similarity criterion,we present a temporal segmentation method which action videos are firstly segmented to atomic actions based on kinematics information of human skeleton,then the atomic action units are iteratively incorporated in meaningful group by considering similarity of energy information.And the key frames are located at sphere of maximum energy information.We tested our method on two challenging datasets and its performance is better than other state of the art methods.

关键词： Temporal Segmentation Human Activity Recognition 3D Perception Energy Information

作者: WANG Yongxiong SHI Yubo

作者单位: Key Laboratory of Modern Optical System,and Engineering Research Center of Optical Instrument and System,Ministry of Education,University of Shanghai for Science and Technology,Shanghai 200093

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 4786-4790

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）