Abstract Moving object detection is a challenging task for night security because of bad video quality. In this paper, we propose a robust real time objects detection method for night visual surveillance based on human visual system. By measuring contrast information variation in multiple successive frames, a spatio-temporal contrast change image (CCI) is formed. Then the multi-frame correspondence technology is employed to robustly extract salient motions or moving objects from CCI. Since CCI is a statistical measurement of variation based on human visual system, the proposed method is effective at night and better than traditional detection methods. Experiments on real scene show that the method based on contrast feature is effective for night object detection and tracking, our approach is also robust to camera scale variation as well as low computation cost.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Detecting and Tracking Distant Objects at Night Based on Human Visual System


    Contributors:


    Publication date :

    2006-01-01


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Detecting and Tracking Distant Objects at Night Based on Human Visual System

    Huang, K. / Wang, L. / Tan, T. | British Library Conference Proceedings | 2006


    Visual Field Restriction and Apparent Size of Distant Objects

    B. M. IMBER / I. D. STERN / J. M. VERPLAS | NTIS | 1954


    Scanned linear illumination of distant objects

    RAMTHUN KENT ALLAN / PESIK JOSEPH T | European Patent Office | 2020

    Free access

    SYSTEM AND METHOD FOR DETECTING AND TRACKING OBJECTS

    XU ANQI / LAMY-POIRIER JOEL | European Patent Office | 2020

    Free access

    SYSTEM AND METHOD FOR DETECTING AND TRACKING OBJECTS

    XU ANQI / LAMY-POIRIER JOEL | European Patent Office | 2022

    Free access