引入前帧加权采样的粒子滤波目标跟踪算法

计算机科学 ›› 2009, Vol. 36 ›› Issue (8): 215-216.

引入前帧加权采样的粒子滤波目标跟踪算法

吴刚,唐振民,耿烽,程勇

(南京理工大学计算机科学与技术学院南京 210094);(南京工程学院南京211167)

出版日期:2018-11-16 发布日期:2018-11-16

Particle Filter Algorithm Imported Weighted Sampling about Pre-frame in Object Tracking

WU Gang,TANG Zhen-min,GENG Feng,CHENG Yong

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 根据相部帧间信息的强关联性，提出一种引入前帧加权采样的粒子滤波目标跟踪算法，解决了传统采样重要性重采样((SIR)算法由于引进提议分布(Proposal distribution)而需要严重依赖目标的系统状态模型的问题，可以理想跟踪运动状态不规则的目标。该算法提出的引入前帧加权采样思想不仅仅局限于基于序列图像的跟踪，而且可以推广到其它相关的领域，具有普适性和实用性。

关键词: 加权采样，粒子滤波，目标跟踪，序列图像，不规则

Abstract: Based on the strong relationship about frames near by, the Author brought forward an particle filter algorithm importing weighted sampling about pre-frame in object tracking. The algorithm resolves the trickiness in traditional SIR algorithm which depends on statcmodcl acutely by importing proposal distribution. The algorithm can track object which movement is irregular. The thought on weighted sampling about pre-frame not only can be applied in object tracking based sequential images, but also can be extended to other fields. The method is universal and practical.

Key words: Weighted sampling, Particle filter, Object tracking,Secauential images,Irregular

吴刚,唐振民,耿烽,程勇. 引入前帧加权采样的粒子滤波目标跟踪算法[J]. 计算机科学, 2009, 36(8): 215-216. https://doi.org/

WU Gang,TANG Zhen-min,GENG Feng,CHENG Yong. Particle Filter Algorithm Imported Weighted Sampling about Pre-frame in Object Tracking[J]. Computer Science, 2009, 36(8): 215-216. https://doi.org/

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