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

中国科学院机构知识库网格

Chinese Academy of Sciences Institutional Repositories Grid

Study particle filter tracking and detection algorithms based on DSP signal processors (EI CONFERENCE)

文献类型：会议论文


作者	Dong Y. ; Chuan W.
出版日期	2010
会议名称	2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010
会议地点	Changchun, China
关键词	In Video tracking detection and tracking usually need two algorithms. The process is complex and need much time which detection and tracking are. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance flag and of location. Particle filter-based method implements detection and tracking at one time. In order to reduce process time and think of pixel position in tracking field feature histogram of luminance is as observe vector and used posterior estimate. In this paper the luminance component is derived and target is recognized and tracked through image processor based on DSP in order to implementing real-time. The experimental results confirm that method can detect and track the object in real-time successfully when the number of particles is 160. The method is robust for rolling scale and partial occlusion. 2010 IEEE.
页码	99-102
收录类别	EI
源URL	[http://ir.ciomp.ac.cn/handle/181722/33591]
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	Dong Y.,Chuan W.. Study particle filter tracking and detection algorithms based on DSP signal processors (EI CONFERENCE)[C]. 见:2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010. Changchun, 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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