Visual tracking is a challenging problem in computer vision, especially when the camera platform is moving. To track a target pedestrian from a UAV (Unmanned Aerial Vehicle) mobile platform, multiple techniques, such as motion control of UAV, visual detection and tracking are needed. This study presents a new tracking method, which mainly involves object tracking, pedestrian detection and online color feature matching. The algorithm of the proposed method has two main components: a median flow tracker and a pedestrian detection which is based on fast feature pyramids. The proposed tracking method is thoroughly evaluated on various public videos and real scene videos from UAV cameras, and compared with existing state-of-the-art tracking methods to show its effectiveness.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Visual Pedestrian Tracking from a UAV Platform


    Contributors:
    Zhang, Li (author) / Zhang, Zenghui (author) / Xiong, Huilin (author)


    Publication date :

    2017-03-01


    Size :

    460859 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Robust visual pedestrian detection by tight coupling to tracking

    Gepperth, Alexander / Sattarov, Egor / Heisele, Bernd et al. | IEEE | 2014


    Pedestrian detection and tracking based on far infrared visual information

    Olmeda, Daniel / Hilario, Cristina / Escalera, Arturo de la et al. | Tema Archive | 2008


    Pedestrian target tracking of UAV platform based on improved TLD algorithm

    Zhou, Bin / Jin, Ali / Zhang, Yu et al. | SPIE | 2023


    A final evaluation of pedestrian detection and tracking from a moving platform [7692-18]

    Bodt, B.A. / Camden, R. / SPIE (Society) | British Library Conference Proceedings | 2010


    Pedestrian Control at Intersections (Phase 1). Pedestrian Tracking

    N. P. Papanikolopoulos / O. Masoud / C. A. Richards | NTIS | 1996