In this paper, we present a real time robust human detection and tracking system for video surveillance which can be used in varying environments. This system consists of human detection, human tracking and false object detection. The human detection utilizes the background subtraction to segment the blob and use codebook to classify human being from other objects. The optimal design algorithm of the codebook is proposed. The tracking is performed at two levels: human classification and individual tracking .The color histogram of human body is used as the appearance model to track individuals. In order to reduce the false alarm, the algorithms of the false object detection are also provided.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Real Time Robust Human Detection and Tracking System


    Beteiligte:
    Jianpeng Zhou, (Autor:in) / Jack Hoang, (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    291251 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Robust Lane Detection and Tracking for Real-Time Applications

    Lee, Chanho / Moon, Ji-Hyun | IEEE | 2018


    PuRe: Robust pupil detection for real-time pervasive eye tracking

    Santini, Thiago / Fuhl, Wolfgang / Kasneci, Enkelejda | British Library Online Contents | 2018


    Real-time robust surround view parking space detection and tracking

    SONG YILIN / WANG ZUOGUAN / GU QUN | Europäisches Patentamt | 2020

    Freier Zugriff

    An Efficient and Robust Real-Time Contour Tracking System

    Panin, G. / Ladikos, A. / Knoll, A. | IEEE | 2006