互联网 qkzz.net
全刊杂志网:首页 > 女性 > 文章正文
刊社推荐

基于隐马尔可夫模型的运动目标轨迹识别


□ 潘奇明 程咏梅

  摘 要:引入改进的隐马尔可夫模型算法,针对真实场景中运动目标轨迹的复杂程度对各个轨迹模式类建立相应的隐马尔可夫模型,利用训练样本训练模型得到可靠的模型参数;计算测试样本对于各个模型的最大似然概率,选取最大概率值对应的轨迹模式类作为轨迹识别的结果,对两种场景中聚类后的轨迹进行训练与识别。实验结果表明,平均识别率分别达到87.76 %和94. 19%。

  关键词:轨迹识别;运动分析;行为模式;隐马尔可夫模型

  中图分类号:tp242.62 文献标志码:a

   文章编号:1001-3695(2008)07-1988-04

  

  trajectory recognition of moving objects based on hidden markov model

  pan qiming1,cheng yongmei2

  (1.dept. of automation, zhongshan institute, university of electronic science & technology of china, zhongshan guangdong 528402, china;2.college of automation, northwestern polytechnical university, xi’an 710072, china)

  abstract: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.

......
很抱歉,暂无全文,若需要阅读全文或喜欢本刊物请联系《计算机应用研究》杂志社购买。
欢迎作者提供全文,请点击编辑
分享:
 

了解更多资讯,请关注“木兰百花园”
分享:
 
精彩图文


关键字
支持中国杂志产业发展,请购买、订阅纸质杂志,欢迎杂志社提供过刊、样刊及电子版。
关于我们 | 网站声明 | 刊社管理 | 网站地图 | 联系方式 | 中图分类法 | RSS 2.0订阅 | IP查询
全刊杂志赏析网 2017