Real-time Human Action Recognition System Using Depth Map Sequences

摘要：

　　This work presents a real-time human action recognition system that uses depth map sequence as input.The system contains the segmentation of human,the action modeling based on 3D shape context and the action graph algorithm.We effectively solve the problem of segmenting human from complex and cluttered scenes by combing a novel quadtree split-and-merge method and the codebook background modeling algorithm.We aims at recognizing actions that are used in games and interactions,especially complex actions that contain foot motion and body heave.By expanding the shape context descriptor into 3D space,we obtain translation and scale invariant features and get rid of normalization error,which is a common problem of real-life applications.Experiments in various scenarios demonstrate the high speed and excellent performance of our procedure.

关键词： Action Recognition Split-and-Merge Segmentation Shape Context Depth Image

作者: Yanli Li Guijin Wang Xinggang Lin Guang Cheng Li He

作者单位: Department of Electronic Engineering,Tsinghua University,Beijing,100084,China

会议类型: 国际会议

会议名称: 2013 2nd international Conference on Opto-Electronics Engineering and Materials Eesearch(2013第二届光电工程与材料研究国际会议)(OEMR2013)

会议地点: 郑州

会议语种:英文

页码: 744-748

在线出版日期: 2013-10-19（万方平台首次上网日期，不代表论文的发表时间）