文献类型：会议论文

英文题名：Mixed features based improved human action recognition algorithm

作者：Jia, Hai Long[1]; Cao, Kun[2]

第一作者：Jia, Hai Long

通讯作者：Jia, H. L.

机构：[1] Center of modern education technology, Xinxiang University, 453003, China; [2] College of computer and information engineering, Xinxiang University, 453003, China

第一机构：新乡学院

通讯机构：[1]Center of modern education technology, Xinxiang University, 453003, China|[11071]新乡学院;

会议论文集：Materials Science, Computer and Information Technology

会议日期：June 14, 2014 - June 15, 2014

会议地点：Tianjin, China

语种：英文

外文关键词：Algorithms - Gesture recognition - Image recognition - Optical flows

摘要：The choice of the motion features affects the result of the human action recognition method directly. Many factors often influence the single feature differently, such as appearance of human body, environment and video camera. So the accuracy of action recognition is limited. On the basis of studying the representation and recognition of human actions, and giving full consideration to the advantages and disadvantages of different features, this paper proposes a mixed feature which combines global silhouette feature and local optical flow feature. This combined representation is used for human action recognition. ? (2014) Trans Tech Publications, Switzerland.