Particle filters for tracking target with a camera

被引：0

作者：

Yang Xuebing ^{[1
,2
]}

Pan Jingui ^{[1
]}

Yang Xuebing ^{[1
,2
]}

机构：

[1] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing, Peoples R China

[2] Anhui Univ Technol, Dept Comp Sci, Nanjing, Peoples R China

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7 | 2007年

基金：

中国国家自然科学基金;

关键词：

target tracking; particle filters; motion model;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A solution for tracking the moving target using particle filters (Sequential Monte Carlo methods) is developed. It consists of a motion model of moving target according to the Newton's law and a non-linear measurement equation in position. The measurements are taken by detecting the target in video frames which are acquired from a camera. A tracking algorithm is presented which uses a swarm of particles to estimate the possibility distribution of the motion states. This is of great importance for high-performance real-time applications such as public monitoring system and no-touching man-machine interaction systems etc.

引用

页码：197 / +

页数：2

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