The proposed system is aimed at detecting and classifying 3D moving objects for security control of unmanned automatic railway stations. Most common approaches are based on active sensors like optical barriers or laser scanning devices. The proposed approach, named 3DMODS, is based on stereo vision technology, using a prediction-verification paradigm. Adaptive change detection is performed at the video rate to detect immediately moving objects in the scene. Object features are collected by "scanning" the scene with different parallel planes at variable height, to verify the volumetric consistency of the detected object. A prediction of stereo correspondence is performed, using homographic transformation on the set of predefined 3D planes, to verify whether the detected change is really a moving 3D object with a significant size, or just a phantom caused by shadows or highlights. A simple classification scheme is currently implemented to decide for an alarm candidate in case of relevant object size, but much more complex and flexible solutions are possible, to recognize all the relevant objects in the scene and achieve much more robust alarm detection performance.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    3DMODS: 3D moving obstacle detection system


    Contributors:
    Garibotto, G. (author) / Corvi, M. (author) / Cibei, C. (author) / Sciarrino, S. (author)


    Publication date :

    2003-01-01


    Size :

    822311 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Moving obstacle detection from moving platforms

    Rayej,S. / Murphy,K. / Lacaze,A. et al. | Automotive engineering | 2006


    Moving Obstacle Detection from Moving Platforms

    Lacaze, Alberto / Murphy, Karl / Rayej, Shima | SAE Technical Papers | 2006


    3DMODS: 3D Moving Obstacle Detection System

    Garibotto, G. / Corvi, M. / Cibei, C. et al. | British Library Conference Proceedings | 2003


    OBSTACLE DETECTION DEVICE AND MOVING OBJECT

    NAKAGAWA TOMOKI / KUSHIDA TOSHIO | European Patent Office | 2022

    Free access

    Moving traffic obstacle detection and avoidance

    BILLS TIERRA / BRYANT REGINALD / LONG XIANGZHU et al. | European Patent Office | 2021

    Free access