基于关键姿势的人体动作识别  

Human Action Recognition Based on Key Poses

作　　者：刘博[1] 安建成[1] 

机构地区：[1]太原理工大学计算智能研究室,山西太原030024

出　　处：《电视技术》2014年第5期38-41,共4页Video Engineering

摘　　要：人体动作识别是计算机视频和图像方面的一个热点问题,为了解决识别率不高、识别速度不快、不能实时识别,以及不同的人摆出相同动作时出现的识别误差,提出了一种能有效解决该问题的方法,该方法分析计算匹配视频帧序列,然后分类匹配后的视频帧,达到识别的目的。Human action recognition is a hot issue in the computer＇s video and image,in order to solve the low recognition rate,slow recognition,not real-time recognition and recognition error which the different persons take same action. In this paper,a effective method is propesed by the author to deal with these problems. In this method the sequence of video frames are analyzed ,calculated and matched, and then the matched video frames are clas-sifted. Through the above steps, the purpose of recognition can be achieved.

关 键 词：动作识别 关键姿势 视频帧分类 轮廓表示 

分 类 号：TN911.73[电子电信—通信与信息系统] TP181[电子电信—信息与通信工程]