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基于粒子滤波的目标实时跟踪系统
引用本文:孙俊喜,孙中森,宋建中.基于粒子滤波的目标实时跟踪系统[J].电视技术,2007,31(3):85-87.
作者姓名:孙俊喜  孙中森  宋建中
作者单位:1. 中国科学院长春光学精密机械与物理研究所,吉林,长春,130033;中国科学院研究生院,北京,100039
2. 中国科学院长春光学精密机械与物理研究所,吉林,长春,130033
摘    要:设计一种基于TMS320VC5416与FPGA的实时图像跟踪系统,该系统首先采用SAA7111A采集图像,经FPGA(采用乒乓操作的方式)传输给DSP处理器.在跟踪算法上采用灰度作为目标特征,使用粒子滤波方法实现对动态目标的跟踪.采用浮点数定点化处理,提高了算法的运行速度.实验表明:该系统具有良好的实时性与稳定性.

关 键 词:实时跟踪  粒子滤波  模板匹配
文章编号:1002-8692(2007)03-0085-03
修稿时间:2007-01-08

An Object-Tracking System Using Particle Filter
SUN Jun-xi,SUN Zhong-sen,SONG Jian-zhong.An Object-Tracking System Using Particle Filter[J].Tv Engineering,2007,31(3):85-87.
Authors:SUN Jun-xi  SUN Zhong-sen  SONG Jian-zhong
Affiliation:1, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China; 2, Graduate School of the Chinese Academy of Sciences, Beijing 100039, China
Abstract:Based on TMS320C5416 and FPGA, a practical system for tracking of target using particle filter is presented. The original image is firstly sampled by SAA7111A, and then transmitted to DSP by Ping-Pang Method via FPGA. The gray feature is selected as the object characteristic and particle filter is used for object tracking. Fixed-point operation is used instead of floating-point operation for increasing the speed of computation. Experimental results show that the system operates well in real-time and is robust.
Keywords:real-time tracking  particle filter  template matching
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