Effectively and accurately locating the positions of pedestrian candidates in image is a key task for the infrared pedestrian detection system. In this work, a novel similarity measuring metric is designed. Based on the selective search scheme, the developed similarity measuring metric is utilized to yield the possible locations for pedestrian candidate. Besides this, corresponding diversification strategies are also provided according to the characteristics of the infrared thermal imaging system. Experimental results indicate that the presented scheme can achieve more efficient outputs than the traditional selective search methodology for the infrared pedestrian detection task.


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    Titel :

    Oriented regions grouping based candidate proposal for infrared pedestrian detection


    Beteiligte:
    Wang, Jiangtao (Autor:in) / Zhang, Jingai (Autor:in) / Li, Huaijiang (Autor:in)

    Kongress:

    Ninth International Conference on Graphic and Image Processing (ICGIP 2017) ; 2017 ; Qingdao,China


    Erschienen in:

    Proc. SPIE ; 10615


    Erscheinungsdatum :

    2018-04-10





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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