In the following we present a multi-instance-based multi-target-tracking method using particle filters. We developed a robust and flexible system capable of tracking an unknown and changing number of objects (vehicles) using early-vision image features. The system works in real time.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Realtime Vision Based Multi-Target-Tracking with Particle Filters in Automotive Applications


    Contributors:
    Idler, C. (author) / Schweiger, R. (author) / Paulus, D. (author) / Mdhlisch, M. (author) / Ritter, W. (author)


    Publication date :

    2006-01-01


    Size :

    4151772 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Realtime Vision Based Multi-Target-Tracking with Particle Filters in Automotive Applications

    Idler, C. / Schweiger, R. / Paulus, D. et al. | British Library Conference Proceedings | 2006


    The realtime Vision System for small-sized target tracking

    Boguslavsky, A.A. / Sokolov, S.M. | British Library Online Contents | 2007


    The realtime Vision System for small-sized target tracking

    Boguslavsky, Andrey A. / Sokolov, Sergey M. | British Library Online Contents | 2007


    Underwater Multi-Target Tracking with Particle Filters

    Masmitja, I. / Gomariz, S. / Del Rio, J. et al. | IEEE | 2018


    Underwater multi-target tracking with particle filters

    Masmitjà Rusiñol, Ivan / Gomáriz Castro, Spartacus / Río Fernandez, Joaquín del et al. | BASE | 2018

    Free access