Roads are the vital mode of transportation for people and goods around the globe and its use has grown dramatically over the years. There is one death every four minutes due to road accidents in the developing nations. This is of deep concern to the entire humanity. Road accident detection and vehicle behavior analysis is of great interest to the research community in intelligent transportation systems. It is very difficult from the state of the art techniques to provide the abstract form of salient parts of accidents from road surveillance videos. To resolve these issues, we present perceptual video summarization techniques to enrich the speed of visualizing the accident content from a stack of videos. The problem of vehicle analysis is formulated as an optimization problem. To the best of our knowledge, this is the first time we solve an accident detection as an optimization problem and filter the frames to be selected, through a single formulation. With the camera in a surrounding infrastructure and capturing a video, we exploited the properties of sub modularity to provide a relevant and condensed key frame summary. We have studied it for various real world traffic surveillance videos comprising of vehicular accidents and thus making it a promising approach.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Event Detection on Roads Using Perceptual Video Summarization


    Contributors:


    Publication date :

    2018-09-01


    Size :

    2963738 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Gesture-Based Video Summarization

    Kosmopoulos, D. I. / Doulamis, A. / Doulamis, N. | British Library Conference Proceedings | 2005


    Gesture-based video summarization

    Kosmopoulos, D.I. / Doulamis, A. / Doulamis, N. | IEEE | 2005


    Video retrieval and summarization

    Sebe, N. / Lew, M. S. / Smeulders, A. W. | British Library Online Contents | 2003


    Steds: Social Media Based Transportation Event Detection with Text Summarization

    Fu, Kaiqun / Lu, Chang-Tien / Nune, Rakesh et al. | IEEE | 2015


    Scene-based scalable video summarization

    Li, Ying / Kuo, C. C. J. / Tretter, Daniel | SPIE | 2003