Collaborative Computing: Networking, Applications and Worksharing. 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11–13, 2017, Proceedings

Research Article

Research of Positioning Tracking on Dynamic Target Based on the Integral Complementing Algorithm

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  • @INPROCEEDINGS{10.1007/978-3-030-00916-8_5,
        author={Jianrong Xu and Guiping Lu and Jingsheng Lin and Jianfeng Huang},
        title={Research of Positioning Tracking on Dynamic Target Based on the Integral Complementing Algorithm},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11--13, 2017, Proceedings},
        proceedings_a={COLLABORATECOM},
        year={2018},
        month={10},
        keywords={Target location Dynamic real-time tracking Integral compensation},
        doi={10.1007/978-3-030-00916-8_5}
    }
    
  • Jianrong Xu
    Guiping Lu
    Jingsheng Lin
    Jianfeng Huang
    Year: 2018
    Research of Positioning Tracking on Dynamic Target Based on the Integral Complementing Algorithm
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-030-00916-8_5
Jianrong Xu1,*, Guiping Lu1,*, Jingsheng Lin1,*, Jianfeng Huang2,*
  • 1: Beijing Institute of Technology, Zhuhai
  • 2: Guangdong University of Petrochemical Technology
*Contact email: 380393916@qq.com, lgpcan@163.com, 742219569@qq.com, 45214083@qq.com

Abstract

Aiming at the problem of single target object detection and tracking in unknown environment, we propose a dynamic target tracking and positioning method based on integral compensation algorithm. The discrete digital quantity is quantized and transformed into a continuous analog quantity, and the tracking direction is controlled by the angular rate control function. In the process of tracking, if the motion state of the target changes, the control function is directly integrated with the compensation algorithm to get a new tracking direction. Through the mathematical modeling analysis and experimental tests, experiments showed that in the single dynamic target object tracking, for the general object dynamic tracking, has a good dynamic, real-time. It has a certain application prospect in single target detection and multi-target tracking accuracy correction.