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长春光学精密机械与物... [1]
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Study particle filter tracking and detection algorithms based on DSP signal processors (EI CONFERENCE)
会议论文
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Dong Y.
;
Chuan W.
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浏览/下载:13/0
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提交时间:2013/03/25
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.
基于模型的行人跟踪
学位论文
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2003
宁华中
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浏览/下载:58/0
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提交时间:2015/09/02
基于模型的行人跟踪
人体模型
运动模型
运动约束
基于动力学的跟踪
粒子滤波
动态模型
modcl-bascd tracking of walking people
human body model
motion model
motion constraints
kinematics-based tracking
particle filte
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