人体行为特征融合与行为识别的分析

Analysis of human behavior characteristic fusion and behavior recognition

伴随着信息技术的快速发展,人体行为识别技术逐渐被引入到各领域中,如安防监控、运动分析、医学辅助诊断和智能人机交互等,而技术实现的关键在于借助相关的特征融合方法。文章对人体行为识别的相关技术以及兴趣点提取方法、尺度混合特征模型与MKL方法的应用进行分析,以期对人体行为识别技术的发展起到推动作用。

With the rapid development of information technology, human behavior recognition technology has been gradually introduced into various fields, such as security monitoring, motion analysis, medical assistant diagnosis and intelligent human-computer interaction, and the key to technology realization is to use the corresponding feature fusion method. This paper analyzed the related technology of human behavior recognition and the method of interest point extraction, scale mixed feature model and application of MKL, with a view to promot the development of human behavior recognition technology.