%0 Journal Article
%T Trajectory recognition of moving objects based on hidden Markov model<br>基于隐马尔可夫模型的运动目标轨迹识别
%A PAN Qi-ming
%A CHENG Yong-mei
%A <br>潘奇明
%A 程咏梅
%J 计算机应用研究
%D 2008
%I 
%X Using modified hidden Markov model,firstly,aiming at the complex degree of the objects' trajectories in real scene,the models were built for every trajectory pattern,and the training samples were used to get the credible parameters of the model.Finally,the maximum likelihood probability of test samples were computed to all of the trained model,the maximum value was saved and the corresponding model was the recognition result.Then train and recognize the samples clustered,and average recognition rate reach 87.76 % and 94.19% respectively.
%K trajectory recognition
%K movement analysis
%K activity pattern
%K hidden Markov model(HMM)<br>轨迹识别
%K 运动分析
%K 行为模式
%K 隐马尔可夫模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=923ADFB244A4D5770DAB5879A478A57F&yid=67289AFF6305E306&vid=C5154311167311FE&iid=DF92D298D3FF1E6E&sid=0702FE8EC3581E51&eid=116CB34717B0B183&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13