基于群体性行为模型的人群分析及其应用Crowd Analysis Based on Crowd Behavior Model and Its Application
陈威华,张旭,曹黎俊,黄凯奇
摘要(Abstract):
基于视频分析的人群监控,涉及到获取人群行为和数量,这在智能监控领域具有重要的现实价值。本文建立基于运动特征的群体性行为模型,挖掘复杂人群场景中的群体行为,用于人群行为和数量的分析。群体性行为模型是一种主题模型(LDA),通过样本学习,可以获得描述不同群体行为的特征集,用于人群分析。实验中,将群体性行为模型应用于挖掘监控场景下的不同人群行为及其特征集,并使用人工神经网络完成人数统计,统计正确率达到92.35%。
关键词(KeyWords): 群体性行为模型;LDA;人群分析;人数统计
基金项目(Foundation): 中国科学院战略性先导科技专项(XDA06030300)资助
作者(Author): 陈威华,张旭,曹黎俊,黄凯奇
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