Vehicle detection is important in traffic monitoring and control. Traditional methods which are based on license plate recognition or vehicle classification which may not be effective for low resolution cameras or when number plate is not available. Also, Vehicle detection in urban scenarios, based on traditional methods like background subtraction fails. To overcome this limitation, this paper present co-training based approach for vehicle detection[1]. Feature selected for detection is haar. Based on haar-training classifier is trained and adaboost is used to get strong classifier. After detection of vehicle, next step is to search for particular vehicles based on its description. Searching of suspicious vehicles is important in criminal investigation. Search framework allows the user to search for vehicles based on attributes such as color, date and time, speed, direction in which vehicle is travelling. Attribute based Vehicle search includes example query "Search for yellow cars moving into horizontal direction from 5.30pm to 8pm". Output of search query is reduced size version of detected vehicles are displayed.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Vehicle detection and attribute based search of vehicles in video surveillance system


    Beteiligte:


    Erscheinungsdatum :

    01.03.2015


    Format / Umfang :

    1642623 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    PVSS: A Progressive Vehicle Search System for Video Surveillance Networks

    Liu, Xinchen / Liu, Wu / Ma, Huadong et al. | ArXiv | 2019

    Freier Zugriff

    Video-based real-time surveillance of vehicles

    Srivastava, S. / Delp, E.J. | British Library Online Contents | 2013


    360-DEGREE VEHICLE VIDEO SURVEILLANCE SYSTEM

    HENDERSON JR FLOYD | Europäisches Patentamt | 2022

    Freier Zugriff

    Pedestrian and vehicle detection via port surveillance video

    Chen, Xinqiang / Wang, Zichuang / Yang, Yongsheng et al. | IEEE | 2021


    Vehicle Detection Based on Video for Traffic Surveillance on road

    Nath, Rajiv Kumar / Deb, Dr Swapan Kumar | BASE | 2012

    Freier Zugriff