人群行为分析研究进展  

Research Envelopment on Human Group Activities Analysis

作　　者：陈昌红[1] 朱秀昌[1] 

机构地区：[1]南京邮电大学通信与信息工程学院,南京210003

出　　处：《计算机科学》2012年第10期7-11,共5页Computer Science

基　　金：国家自然科学基金项目(61172118;61001152);江苏省高校自然科学研究项目(11KJB510012);江苏省自然科学基金(BK2010523);南京邮电大学校科研基金(NY210073)资助

摘　　要：人群行为分析是计算机视觉领域一个新兴的研究方向,在智能视频监控、虚拟现实、视频检索等方面有着广泛的应用前景和巨大的经济价值。主要从数据库和分析方法两个方面对人群行为分析的研究进展进行综述。人群行为数据库主要包括行为数据库和监控数据库两种,对这两类数据库中比较典型的库进行了总结,并从人群行为的分解方法和识别方法两方面对人群行为分析方法进行了详细总结。将分解方法分为3种,分别指出了各种方法的优缺点。将人群行为的识别方法分为基于统计的方法和基于描述的方法两种,对它们进行了详细比较,并指出了识别方法的发展趋势。总结了人群行为分析的潜在问题,并展望了其发展前景。Human group activities analysis has become a new research interest of computer vision.It has broad application prospects and great economic value in many aspects,such as intelligent video surveillance,virtual reality,video retrieval and so on.This paper made a survey on the human group activities analysis from group databases and analysis algorithms.Firstly,the group databases mainly consist of behavior databases and surveillance databases.This paper summarized the typical databases of these two classes.Secondly,we sumed up the human group activities analysis algorithms from decomposition methods and recognition methods of group activities.The decomposition methods were divided into three kinds and their strengths and weaknesses were pointed out,separately.The recognition algorithms of group activities were divided into statistical approaches and description-based ones.We compared them in detail and pointed out the development tendency.At last,we summarized the potential problems of human group activities analysis and looked forward to its future.

关 键 词：人群行为分析 数据库 人群行为分解 人群行为识别 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]