Video summarization based on extracted key position of spotted objects

Zaur Fataliyev, David Han, Yadigar Imamverdiyev, Hanseok Ko

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    This paper proposes a novel fusion method for summarization of surveillance videos based on extracted key positions of spotted objects in observed area. Accumulated energy of object is calculated by analyzing its motion pattern for key position extraction. The method allows to summarize long videos into a single index frame. Experimental results demonstrate its effectiveness.

    Original languageEnglish
    Title of host publication2015 IEEE International Conference on Consumer Electronics, ICCE 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages331-332
    Number of pages2
    ISBN (Electronic)9781479975426
    DOIs
    Publication statusPublished - 2015 Mar 23
    Event2015 IEEE International Conference on Consumer Electronics, ICCE 2015 - Las Vegas, United States
    Duration: 2015 Jan 92015 Jan 12

    Publication series

    Name2015 IEEE International Conference on Consumer Electronics, ICCE 2015

    Other

    Other2015 IEEE International Conference on Consumer Electronics, ICCE 2015
    Country/TerritoryUnited States
    CityLas Vegas
    Period15/1/915/1/12

    Bibliographical note

    Publisher Copyright:
    © 2015 IEEE.

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Electrical and Electronic Engineering
    • Industrial and Manufacturing Engineering

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