Foreground detection (FD) plays an important role in the domain of video surveillance for highway. The design of advanced FD algorithms requires large-scale and diverse video dataset. However, collecting and labeling real dataset is still time-consuming, labor-intensive, and highly subjective. To address this issue, we first use computer graphics (CG) to clone real highway scenarios (HS) and generate synthetic multi-challenge video datasets, called “Synthetic-HS (CG)”, automatically labeled with accurate pixel-level ground truth. The Synthetic-HS (CG) dataset contains eight imaging condition sequences for computer vision research. Then, we design an image translation (IT) model that translates source domain (Synthetic-HS (CG)) to target domain (real). This model uses skip connections and attention module to generate realistic synthetic images “Synthetic-HS (IT)”. We use publicly available Synthetic-HS in combination with the corresponding real video sequence to conduct experiments. The experiment results suggest that: 1) The Synthetic-HS (CG) dataset enables us to provide precise quantitative evaluation of the drawbacks of foreground detection methods 2) The realistic Synthetic-HS (IT) images can be used to promote the visual perception in highway video surveillance.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Novel Framework to Generate Synthetic Video for Foreground Detection in Highway Surveillance Scenarios


    Beteiligte:
    Li, Xuan (Autor:in) / Duan, Haibin (Autor:in) / Liu, Bingzi (Autor:in) / Wang, Xiao (Autor:in) / Wang, Fei-Yue (Autor:in)


    Erscheinungsdatum :

    2023-06-01


    Format / Umfang :

    2262570 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Robust and efficient foreground analysis for real-time video surveillance

    Ying-Li Tian, / Lu, M. / Hampapur, A. | IEEE | 2005


    National Highway Video Surveillance Networking Platform

    Gao, Pei-Yuan / Wang, Jian / Zhu, Ming-Hui | Tema Archiv | 2014


    Generating Novel Information Salient Maps for Foreground Object Detection in Video

    Liu, Chang / Yuen, Pong C. / Qiu, Guoping | IEEE | 2008


    Foreground detection

    JALES COSTA BRUNO SIELLY / CORONA ENRIQUE / PUSKORIUS GINTARAS VINCENT et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    FOREGROUND DETECTION

    JALES COSTA BRUNO SIELLY / CORONA ENRIQUE / PUSKORIUS GINTARAS VINCENT et al. | Europäisches Patentamt | 2020

    Freier Zugriff