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    Camera Based Pedestrian Detection

    Camera Based Pedestrian Detection


    Abstract Detecting pedestrians in street scenes is one of the most important but also one of the most difficult problems of computer vision. Ideally, all pedestrians should be robustly detected in order to provide optimal assistance to the driver regardless of visual conditions. Different environmental factors complicate this, however. Especially problematic are changing weather and visual conditions as well as difficult lighting situations and road conditions. Moreover, an individual’s clothing and partial occlusions of pedestrians, for example, by parked cars, further complicate the detection task. Also, in comparison to many other objects in street scenes, pedestrians are characterized by a high degree of articulation further complicating the task.

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    Dokumentinformationen

    Titel :

    Camera Based Pedestrian Detection

    Beteiligte:
    Schiele, Bernt (Autor:in) / Wojek, Christian (Autor:in)
    Erschienen in:

    Handbook of Driver Assistance Systems ; 525-545

    Ausgabe :

    2016

    Erscheinungsdatum :

    2015-12-08

    Format / Umfang :

    21 pages

    ISBN :

    978-3-319-12351-6 , 978-3-319-12352-3

    DOI :

    https://doi.org/10.1007/978-3-319-12352-3_23

    Medientyp :

    Aufsatz/Kapitel (Buch)

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

    Schlagwörter :

    Interest Point , Dictionary Entry , Weak Classifier , Shape Context , Pedestrian Detection Engineering , Automotive Engineering , User Interfaces and Human Computer Interaction , Robotics and Automation , Signal, Image and Speech Processing , Camera Based Pedestrian Detection

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