Fast and accurate visual tracking of ground buildings can provide unmanned aerial vehicles (UAVs) with rich perceptual information, which is very important for target recognition, navigation and system control. However, when an UAV moves fast, both background and buildings in visual scenes change relatively and rapidly. Consequently, there are no constant features for objects' appearance, which poses great challenges for visual tracking of buildings. In this paper, we first build an image manifold of buildings, which can encode the continuous variation of appearance. We then propose an efficient approach to learn this manifold and obtain more robust feature extraction results. By using a simple tracking framework, we successfully apply the extracted low-dimensional features to real-time building tracking. Experimental results demonstrate the effectiveness of the proposed method.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Dynamic Building Tracking from UAVs Based on Image Manifold Learning


    Contributors:


    Publication date :

    2013


    Size :

    5 Seiten




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





    Acoustic Detection and Tracking of UAVs and from UAVs

    Pham, T. / Srour, N. / North Atlantic Treaty Organization | British Library Conference Proceedings | 2005


    Target Tracking with UAVs

    Jiang, Yifan | DataCite | 2024


    Vision based Tracking System for Small UAVs

    Lazarus, S. / Quintart, A. / Savvaris, A. et al. | British Library Conference Proceedings | 2012


    A Dynamic Visual SLAM System Incorporating Object Tracking for UAVs

    Minglei Li / Jia Li / Yanan Cao et al. | DOAJ | 2024

    Free access