基于粒子滤波的关键视频监控区域划分研究
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摘要
针对视频监控区域划分问题,提出了基于粒子滤波的关键区域划分方法。本文所提出的方法首先在"时间戳概率事件"和"概率质心"概念的基础上,面向粒子滤波技术所产生的数据,应用"覆盖密度"提出了一种自适应覆盖密度的覆盖聚类算法,通过该方法,获得了目标对象的高概率活动区域,确定关键视频监控区域划分,对提出的算法进行了数值实验。
In order to solve the problem of important video supervisory region division,we present a new method for video supervisory region division base on particle filter. On the basis of definition of " probabilistic event of timestamp" and " centroid of probability",using the data which generated by the particle filtering technology,applying " Cover-Density",this paper present a covering clustering based on self-adoptively cover-density. This method can produce the region where the object active with high probability. These regions can be as the important video supervisory region. Finally,this paper has carried out an experiment.
In order to solve the problem of important video supervisory region division,we present a new method for video supervisory region division base on particle filter. On the basis of definition of " probabilistic event of timestamp" and " centroid of probability",using the data which generated by the particle filtering technology,applying " Cover-Density",this paper present a covering clustering based on self-adoptively cover-density. This method can produce the region where the object active with high probability. These regions can be as the important video supervisory region. Finally,this paper has carried out an experiment.
引文
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[13]http://lahar.cs.washington.edu/display Page.php?path=./content/Download/RFIDData/rfid Data.html.
[2]丁家祥.城市社会治安图像监控系统的现状与发展趋势[J].公安研究,2008(7):72-80.
[3]毛晓东,樊亚文.高清视频监控技术在城市公共安全中的应用[J].电视技术,2010,34(4):103-105.
[4]YH Kim,S Rana,S Wise.Exploring multiple viewshed analysis using terrain features and optimisationtechniques.Computers&Geosciences,2004,30(9-10):1019-1032.
[5]M Ren.Research of 3D(three-dimensional)Terrain Visualization System Based on Object-oriented Spatial Database.Computer Engineering&Applications,2002,38(19):209-211.
[6]HR Anderson,JP Mc Geehan.Optimizing microcell base station locations using simulated annealing techniques.Vehicular Technology Conference,1994,2:858-862 vol.2.
[7]Waldrop,J.,Engels,D.W.,Sarma,S.E.:A MAC for RIFD reader networks.IEEEWireless Communications and Networking(WCNC)3,1701–1704(2003).
[8]Ashraf E.Al-Fagih,Coverage-Based Placement in RFID Networks:An Overview,2012 Third FTRA International Conference on Mobile,Ubiquitous,and Intelligent Computing,page 220-224,2012.
[9]王殿君,兰云峰,任福君,等.基于有源RFID的室内移动机器人定位系统[J].清华大学学报(自然科学版),2010年05期.
[10]Fusheng Wang,Shaorong Liu,Peiya Liu.Complex RFID event processing,The VLDB Journal(2009)18:913-931.
[11]武森,高学东,M.巴斯蒂安.数据仓库与数据挖掘,冶金工业出版社,2003年,第一版.
[12]Voronoi G F.Nouvelles applications des paramètrescontinusàlathéorie des formesquadratiques[J].Journalfür die Reine und Angewandte Mathematik,1908,1908(133):97-178..
[13]http://lahar.cs.washington.edu/display Page.php?path=./content/Download/RFIDData/rfid Data.html.