In this paper,we introduce a new tracking algorithm to detect and track multiple Vehicles in highway or special area. For the traditional vehicle tracking algorithm that can not be real-time tracking of vehicles or appear to tracking chaotic situation when most of the scene is in motion and component parts of vehicles are occluded. To overcome this problem, we use a background image separation method to separate the moving vehicle and the background and introduce a QPSO clustering algorithm for gathering together color particles of vehicles moving target,finally we through the particle position matching template to achieve target matching tracking.In an experimental evaluation, we show that algorithm through processing the monitoring image of moving vehicles to show tracking information of moving vehicle in the real-time.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Multi-Vehicle Tracking Algorithm Based on QPSO Clustering Algorithm and Particle Position Matching Template



    Published in:

    Publication date :

    2013-06-27


    Size :

    4 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Electric vehicle charging strategy optimization method based on QPSO algorithm

    LEI XUETING / XU MINGYU / CHEN XIAOGUANG et al. | European Patent Office | 2021

    Free access

    Dual sub-swarm interaction QPSO algorithm based on different correlation coefficients

    Wu, Tao / Xie, Lei / Chen, Xi et al. | BASE | 2018

    Free access

    A simple and efficient template matching algorithm

    Jurie, F. / Dhome, M. | IEEE | 2001


    A Simple and Efficient Template Matching Algorithm

    Jurie, F. / Dhome, M. / IEEE | British Library Conference Proceedings | 2001