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一种视频多运动目标跟踪方法研究
引用本文:闫东升,马晓芬,朱健.一种视频多运动目标跟踪方法研究[J].现代计算机,2011(18):17-20.
作者姓名:闫东升  马晓芬  朱健
作者单位:广东警官学院计算机系;江苏大学计算机科学与通信工程学院
基金项目:公安部科技创新项目(No.2010YYCXGDST066);江苏大学本科生科研立项(No.10A124)
摘    要:图像运动目标跟踪是自动监控、道路导航、交通监控等重要系统的核心技术。为了解决视频中多个运动目标的跟踪,利用帧间差分、Kalman滤波器以及少量特征匹配来自动提取各个运动目标并进行跟踪。针对灰度图像序列,采用一种基于图像序列的梯度信息,使用帧间差分法自动提取运动目标,利用Kalman滤波器预测目标位置,在估计目标在下一帧的位置范围后,根据目标直方图特征来缩小搜索范围实现目标对象的准确跟踪。实验结果表示,该方法具有较小的运算量和较好的实时性,同等条件下具有较高准确性。

关 键 词:多运动目标  帧间差分法  Kalman滤波器

Research on Multi-Target Tracking Method Based on Video
YAN Dong-sheng,MA Xiao-fen,ZHU Jian.Research on Multi-Target Tracking Method Based on Video[J].Modem Computer,2011(18):17-20.
Authors:YAN Dong-sheng  MA Xiao-fen  ZHU Jian
Affiliation:1.Department of Computer,Guangdong Police Officer College,Guangzhou 510230; 2.School of Computer Science and Telecommunication Engineering,Jiangsu University,Zhenjiang 212013)
Abstract:Image motion tracking is the main technology of automatic visual surveillance,pathfinding, traffic monitoring and other important systems.Uses conterminous frame differing,Kalman filter and feature matching to detect multi-target in the video frequency.Uses conterminous frame differing based on gradient to detect multi-target.Realizes target tracking by the histograms after the target location in next frame is obtained by Kalman filter.The experiment indicates that this algorithm is of less computation,stronger anti-interference and higher accuracy.
Keywords:Multiple Moving Targets  Conterminous Frame Differing  Kalman Filter
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