In this work, we present our solution to the vehicle reidentification (vehicle Re-ID) track in AI City Challenge 2020 (AIC2020). The purpose of vehicle Re-ID is to retrieve the same vehicle appeared across multiple cameras, and it could make a great contribution to the Intelligent Traffic System(ITS) and smart city. Due to the vehicle’s orientation, lighting and inter-class similarity, it is difficult to achieve robust and discriminative representation feature. For the vehicle Re-ID track in AIC2020, our method is to fuse features extracted from different networks in order to take advantages of these networks and achieve complementary features. For each single model, several methods such as multi-loss, filter grafting, semi-supervised are used to increase the representation ability as better as possible. Top performance in City-Scale Multi-Camera Vehicle ReIdentification demonstrated the advantage of our methods, we got 5-th place in the vehicle Re-ID track of AIC2020.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Vehicle Re-Identification Based on Complementary Features


    Beteiligte:
    Gao, Cunyuan (Autor:in) / Hu, Yi (Autor:in) / Zhang, Yi (Autor:in) / Yao, Rui (Autor:in) / Zhou, Yong (Autor:in) / Zhao, Jiaqi (Autor:in)


    Erscheinungsdatum :

    01.06.2020


    Format / Umfang :

    604575 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Vehicle Re-Identification Based on Complementary Features

    Gao, Cunyuan / Hu, Yi / Zhang, Yi et al. | ArXiv | 2020

    Freier Zugriff

    The Complementary Expendable Launch Vehicle

    WHITEHEAD, VICTOR | AIAA | 1990


    Complementary control system for autonomous vehicle

    VANDAPPEL NATHALIE / JAMMOUR SHADI / SCHLOSSER ROBERT et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    CONTROL OF VEHICLE FEATURES BASED ON USER RECOGNITION AND IDENTIFICATION

    RICCI CHRISTOPHER P | Europäisches Patentamt | 2016

    Freier Zugriff

    Complementary Features Combined in an HMM-Based System to Recognize Handwritten Digits

    Britto, A. / Sabourin, R. / Bortolozzi, F. et al. | British Library Conference Proceedings | 2003