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基于声图像序列的快速目标跟踪算法
引用本文:田晓东,周德超,刘忠.基于声图像序列的快速目标跟踪算法[J].计算机仿真,2007,24(7):5-8.
作者姓名:田晓东  周德超  刘忠
作者单位:海军工程大学电子工程学院,湖北,武汉,430033
基金项目:注:本文研究中采用了英国海洋系统实验室(UK 0ceanic System Laboratary)在其网站提供的水下声呐动目标探测数据,在此表示衷心的感谢
摘    要:针对声图像具有对比度低、不同时刻目标回波变化大等特点,提出了一种基于卡尔曼滤波和数据关联算法的快速目标跟踪算法.该算法首先对声图像序列进行高斯平滑和自适应阈值分割处理,在此基础上建立卡尔曼滤波目标跟踪模型和数据关联目标匹配算法,分析计算了可跟踪的目标速度上限值.仿真结果表明,该算法可较准确地实现目标跟踪,允许的目标速度可满足实际应用的需要.同传统文献算法相比,该算法具有实时性好、鲁棒性强,能更好地适应目标分裂或合并等情形.

关 键 词:目标跟踪  声图像序列  卡尔曼滤波  数据关联  图像序列  快速目标  跟踪算法  Image  Sequences  Sonar  Based  Algorithm  Object  Tracking  目标分裂  自适应  鲁棒性  实时性  文献  应用  目标跟踪  仿真结果  上限值  目标速度  分析计算  匹配算法
文章编号:1006-9348(2007)07-0005-04
修稿时间:2006-06-09

A Fast Object Tracking Algorithm Based on Sonar Image Sequences
TIAN Xiao-dong,ZHOU De-chao,LIU Zhong.A Fast Object Tracking Algorithm Based on Sonar Image Sequences[J].Computer Simulation,2007,24(7):5-8.
Authors:TIAN Xiao-dong  ZHOU De-chao  LIU Zhong
Affiliation:Academy of Electronic Engineering, Naval University of Engineering,Wuhan Hubei 430033 ,China
Abstract:Aiming at the characteristics of sonar image such as low-contrast and intensity of object varies greatly at different instant,a novel fast object tracking algorithm based on Kalman filter and data association is proposed.First,this algorithm utilizes Gaussian filter and adaptive thresholding method to preprocess sonar image.Secondly,a tracking model based on Kalman filter and data association method is presented.The upper-limit of object's velocity is analyzed.Simulation result indicates that the algorithm presented in this paper can track object in sonar image precisely and meet the application requirement.Compared with traditional methods provided in literatures,this algorithm has characteristics such as real-time,great robustness.
Keywords:Object tracking  Sonar image sequences  Kalman filter  Data association
本文献已被 CNKI 维普 万方数据 等数据库收录!
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