计算机工程与应用2009，Vol.45Issue(32)：156-158,3.DOI:10.3778/j.issn.1002-8331.2009.32.049
三维扩散模型在视频行为识别中的应用
Research of video behavior identification based on three-dimensional diffusion model
摘要
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.lt can solve the video object recognition,activity recognition and behavior recognition ete 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.关键词
视频/行为识别/三维扩散模型/支持向量机Key words
video/behavior identification/three-dimensional diffusion model/Support Vector Machines(SVM)分类
计算机与自动化引用本文复制引用
雷金娥..三维扩散模型在视频行为识别中的应用[J].计算机工程与应用,2009,45(32):156-158,3.基金项目
南昌工程学院青年基金-科技项目(No.2006KJ029). （No.2006KJ029）
