中文摘要：

人体动作行为识别因其在视频监控、虚拟现实、人机智能交互等领域的广泛应用而成为计算机视觉领域的研究热点．文中将人体动作行为识别问题归纳为计算机经过检测动作数据而获取并符号化动作信息，继而提取和理解动作特征以实现动作行为分类的过程，在此基础上，从运动目标检测、动作特征提取和动作特征理解3个方面对涉及到的技术进行回顾分析，对相关方法进行分类，并讨论相关难点和研究方向．

英文摘要：

Action recognition has become a hotspot in the fields of video surveillance, virtual reality, human- computer interaction and others recently. In this paper, action recognition is comprehended as a process of detecting action data, called symbols of action message, and distinct actions based on action feature extraction and reception are further classified. On the basis, an overview of vision-based full-body action recognition techniques is presented within the domain of moving object detection, action feature extraction and action feature perception, and the corresponding methods are classified. Besides, the research trend of action recognition is discussed.