Cameras have been widely used in traffic operations. While many technologically smart camera solutions in the market can be integrated into Intelligent Transport Systems (ITS) for automated detection, monitoring and data generation, many Network Operations (a.k.a Traffic Control) Centres still use legacy camera systems as manual surveillance devices. In this paper, we demonstrate effective use of these older assets by applying computer vision techniques to extract traffic data from videos captured by legacy cameras. In our proposed vision-based pipeline, we adopt recent state-of-the-art object detectors and transfer-learning to detect vehicles, pedestrians, and cyclists from monocular videos. By weakly calibrating the camera, we demonstrate a novel application of the image-to-world homography which gives our monocular vision system the efficacy of counting vehicles by lane and estimating vehicle length and speed in real-world units. Our pipeline also includes a module which combines a convolutional neural network (CNN) classifier with projective geometry information to classify vehicles. We have tested it on videos captured at several sites with different traffic flow conditions and compared the results with the data collected by piezoelectric sensors. Our experimental results show that the proposed pipeline can process 60 frames per second for pre-recorded videos and yield high-quality metadata for further traffic analysis.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Vision-Based Pipeline for Vehicle Counting, Speed Estimation, and Classification


    Beteiligte:
    Liu, Chenghuan (Autor:in) / Huynh, Du Q. (Autor:in) / Sun, Yuchao (Autor:in) / Reynolds, Mark (Autor:in) / Atkinson, Steve (Autor:in)


    Erscheinungsdatum :

    2021-12-01


    Format / Umfang :

    4680625 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Computer Vision based Vehicle Counting and Speed Detection System

    Ahmad, Faiyaz / Ansari, Mohd Zeeshan / Hamid, Shuja et al. | IEEE | 2023


    Vision‐based vehicle speed estimation: A survey

    Fernández Llorca, David / Hernández Martínez, Antonio / García Daza, Iván | Wiley | 2021

    Freier Zugriff

    Vision‐based vehicle speed estimation: A survey

    David Fernández Llorca / Antonio Hernández Martínez / Iván García Daza | DOAJ | 2021

    Freier Zugriff

    Vehicle Classification and Counting from Surveillance Camera Using Computer Vision

    Ayub khan, A. / Sabeenian, R. S. / Janani, A. S. et al. | Springer Verlag | 2022


    Vehicle Counting and Speed Estimation with RFID Backscatter Signal

    Yang, Cheng-Hsun / Tsai, Hsin-Mu | IEEE | 2019