We present a new contour-based background-subtraction technique using thermal and visible imagery for persistent object detection in urban settings. Statistical backgroundsubtraction in the thermal domain is used to identify the initial regions-of-interest. Color and intensity information are used within these areas to obtain the corresponding regionsof- interest in the visible domain. Within each region, input and background gradient information are combined to form a Contour Saliency Map. The binary contour fragments, obtained from corresponding Contour Saliency Maps, are then combined. An A path-constrained search along watershed boundaries is used to complete and close any broken contour segments. Lastly, the contour image is flood- filled to produce silhouettes. Results of our approach are presented and compared against manually segmented data.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fusion-Based Background-Subtraction using Contour Saliency


    Contributors:
    Davis, J.W. (author) / Sharma, V. (author)


    Publication date :

    2005-01-01


    Size :

    386770 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Background-Subtraction in Thermal Imagery Using Contour Saliency

    Davis, J. W. / Sharma, V. | British Library Online Contents | 2007


    Background-subtraction using contour-based fusion of thermal and visible imagery

    Davis, J. W. / Sharma, V. | British Library Online Contents | 2007


    Background Subtraction Using Markov Thresholds

    Migdal, Joshua / Grimson, W. Eric L. | IEEE | 2005


    Fast Lighting Independent Background Subtraction

    Ivanov, Y. / Bobick, A. / Liu, J. | British Library Online Contents | 2000


    Background subtraction : theory and practice

    Elgammal, Ahmed | TIBKAT | 2015