The multi-camera array has drawn attention of researchers in recent years, and has been configured and deployed on intelligent vehicle to capture the panoramic views. Understanding surroundings is crucial for the ego-vehicle. This paper presents a Multi-perspective Tracking (MPT) framework for intelligent vehicle. An iterative search procedure is proposed to associate detections and tracklets in different perspectives. This procedure iteratively assigns determined states and estimates non-determined states for the detections and tracklets. An inherent determined and non-determined graph is utilized to reinforce this procedure. For more reliable associations between perspectives, a Siamese convolutional neural network is employed to learn feature representation. The supervised classification and verification signals are added to train the network. The features in different conventional stages are integrated together as the discriminative appearance model. The experiments are conducted on a MPT data set with five perspectives. The proposed framework is tested in each pair of adjacent perspectives for the ability to associate target objects between perspectives.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multi-Perspective Tracking for Intelligent Vehicle


    Beteiligte:
    Ji, Xiangyang (Autor:in) / Zhang, Guanwen (Autor:in) / Chen, Xiaogang (Autor:in) / Guo, Qi (Autor:in)


    Erscheinungsdatum :

    2018-02-01


    Format / Umfang :

    3138575 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Multi-perspective vehicle detection and tracking: Challenges, dataset, and metrics

    Dueholm, Jacob V. / Kristoffersen, Miklas S. / Satzoda, Ravi K. et al. | IEEE | 2016


    An Intelligent Auto-Tracking Vehicle

    Ms. Ritika Dhabalia, Ms. Kritika Dhabalia | BASE | 2012

    Freier Zugriff

    An Intelligent Vehicle Tracking Method

    Kim, I. / ITS Congress Association | British Library Conference Proceedings | 2000


    Tracking high-speed mobile intelligent vehicle

    CHEN YIZHUO / ZHANG JIE / YU MENGZHE et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Computer Vision-Based Intelligent Traffic Surveillance: Multi-Vehicle Tracking and Detection

    Husein, Amir Mahmud / Noflianhar Lubis, Kevi / Salim Sidabutar, Daniel et al. | BASE | 2024

    Freier Zugriff