Research of Improved Probability Data Association Algorithm for Multi-target Tracking

被引：1

作者：

Jia Zhengwang ^{[1
]}

Li Yinya ^{[1
]}

Mao Mingxiu ^{[1
]}

Chen Li ^{[1
]}

Guo Zhi ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China

来源：

CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年

关键词：

Multi-target tracking; Data association; Probabilistic data association algorithm;

D O I：

10.1109/CCDC.2009.5194908

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An improved probabilistic data association is proposed to overcome both the drawback of complication in joint probabilistic data association and the unnentrality of multi-targets processing by probabilistic data association. It incorporates the radar Doppler measurement information and modifies weighting of state estimation of measurements in the common region, and then makes the final estimation more exact and improves further performance. The theoretical analysis and Monte-Carlo simulation results show that the algorithm has small computation cost and a better real-time tracking performance.

引用

页码：4919 / 4923

页数：5

共 12 条

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