Journal of Liaoning Petrochemical University

Journal of Liaoning Petrochemical University ›› 2010, Vol. 30 ›› Issue (3): 82-85.DOI: 10.3696/j.issn.1672-6952.2010.03.023

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Method of Motion Trajectory Detection Based on Sequence Images

WANG Zhao-fu1, CHEN Shao-wei2, JI Yu-bo1*   

  1.  
    1.School of Computer and Communication Engineering, Liaoning Shihua University, Fushun Liaoning 113001,
    P.R.China; 2.Electrical & Instrument Department of Lanzhou Petrochemical Company, Lanzhou Gansu 730060, P.R.China
  • Received:2010-03-17 Published:2010-09-25 Online:2017-07-05

基于序列图像的运动轨迹检测方法

王照付1,陈少巍2,纪玉波1*   

  1. 辽宁石油化工大学计算机与通信工程学院,辽宁抚顺113001;2.兰州石化公司电仪事业部,甘肃兰州730060
  • 作者简介:王照付(1981-),男,山东菏泽市,在读硕士。

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Abstract:  

The moving object trace detection based on sequence images is a critical technology of target recognition and track processing. The core of the motion trajectory detection is the contour character extraction of the moving object, however traditional algorithms only highlights partial characters of the contour because of the different factors. On the basis of extracting different characteristic information from traditional algorithms, the multi-template integration edge detection method of ant colony clustering was adopted to obtain the edge of moving object. The experimental results show that this method can obtain relatively complete characteristic information in the course of trace detection and can attain the trace of the object more effectively.

Key words:  Trace detection ,  Ant clustering ,  Edge extraction

摘要： 序列图像中运动目标轨迹检测是目标识别与跟踪处理的关键技术。运动轨迹检测的核心是运动目
标的轮廓特征提取,传统算法提取的目标物体由于受不同因素的影响只突出了轮廓的部分特征,给运动轨迹检测带
来一定的困难。在利用传统算法获取不同特征信息的基础上,采用蚁群聚类的多模板融合边缘检测方法获取目标
边界,实验结果表明该方法在轨迹检测过程中能够获得较完整的特征信息,能更有效地获取目标轨迹。

关键词: 轨迹检测 , 蚁群聚类 , 边缘提取

Cite this article

WANG Zhao-fu, CHEN Shao-wei, JI Yu-bo. Method of Motion Trajectory Detection Based on Sequence Images[J]. Journal of Liaoning Petrochemical University, 2010, 30(3): 82-85.

王照付,陈少巍,纪玉波. 基于序列图像的运动轨迹检测方法[J]. 辽宁石油化工大学学报, 2010, 30(3): 82-85.

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