关键词: 视频, 行为识别, 三维扩散模型, 支持向量机

Abstract: Content recognition is one main purpose of video and image analysis，however，due to the complexity of video content，it is hard to realize automatic analysis and identification，and there are no universal method and theories of identification of video at present.3D anisotropic diffusion equations can achieve video signals analysis in the multi-scale to facilitate the description and extraction of characteristics.It can solve the video object recognition，activity recognition and behavior recognition etc by the multi-scale analysis and SVM（Support Vector Machines） classification system.The experiments show that the new method can identify video behavior even in the circumstances where sample characteristics remain unknown，which prove that the method can be used to identify any of the known samples through machine learning.

Key words: video, behavior identification, three-dimensional diffusion model, Support Vector Machines（SVM）