首页|期刊导航|高技术通讯（英文版）|Video object's behavior analyzing based on motion history image and hidden markov model
高技术通讯（英文版）2009，Vol.15Issue(3)：319-324,6.DOI:10.3772/j.issn.1006-6748.2009.03.017
Video object's behavior analyzing based on motion history image and hidden markov model
Video object's behavior analyzing based on motion history image and hidden markov model
摘要
Abstract
A novel method was proposed, which extracted video object's track and analyzed video object's behavior. Firstly, this method tracked the video object based on motion history image, and obtained the coordinate-based track sequence and orientation-based track sequence of the video object. Then the proposed hidden markov model (HMM) based algorithm was used to analyze the behavior of video object with the track sequence as input. Experimental results on traffic object show that this method can achieve the statistics of a mass of traffic objects' behavior efficiently, can acquire the reasonable velocity behavior curve of traffic object, and can recognize traffic object's various behaviors accurately. It provides a base for further research on video object behavior.关键词
motion history image/ hidden markov model (HMM)/ track sequence/ behavior analyzingKey words
motion history image/ hidden markov model (HMM)/ track sequence/ behavior analyzing分类
计算机与自动化引用本文复制引用
Meng Fanfeng,Qu Zhenshen,Zeng Qingshuang,Li li..Video object's behavior analyzing based on motion history image and hidden markov model[J].高技术通讯（英文版）,2009,15(3):319-324,6.基金项目
Supported by the High Technology Research and Development Programme of China (No. 2004AA742209). （No. 2004AA742209）
