中国科学院机构知识库网格系统: Study on color image tracking and detection algorithms based on particle filter (EI CONFERENCE)

中国科学院机构知识库网格

Chinese Academy of Sciences Institutional Repositories Grid

Study on color image tracking and detection algorithms based on particle filter (EI CONFERENCE)

文献类型：会议论文


作者	Wu C. ; Sun H.-J. ; Yang D.
出版日期	2009
会议名称	International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, June 17, 2009 - June 19, 2009
会议地点	Beijing, China
关键词	In Video tracking detection and tracking need two algorithms. The process is complex and need much time which detection and tracking is. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance and of location. Particle filter-based method implements detection and tracking. In order to reduce process time and think of pixel position in tracking field feature histogram of color-based is as observe vector and used posterior estimate. The experimental results confirm that method can detect and track object in 17.68ms successfully when the number of particles is 160. The method is robust for rolling scale and partial occlusion. 2009 SPIE.
收录类别	EI
源URL	[http://ir.ciomp.ac.cn/handle/181722/33727]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式 GB/T 7714	Wu C.,Sun H.-J.,Yang D.. Study on color image tracking and detection algorithms based on particle filter (EI CONFERENCE)[C]. 见:International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, June 17, 2009 - June 19, 2009. Beijing, China.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

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