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

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 (Print)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

Other

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

ASJC Scopus subject areas

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

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  • Cite this

    Fataliyev, Z., Han, D., Imamverdiyev, Y., & Ko, H. (2015). Video summarization based on extracted key position of spotted objects. In 2015 IEEE International Conference on Consumer Electronics, ICCE 2015 (pp. 331-332). [7066433] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2015.7066433