Indexing Motion Detection Data for Surveillance Video

Søren Juhl Vind, Philip Bille, Inge Li Gørtz

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Abstract

We show how to compactly index video data to support fast motion detection queries. A query specifies a time interval T, a area A in the video and two thresholds v and p. The answer to a query is a list of timestamps in T where ≥ p% of A has changed by ≥ v values. Our results show that by building a small index, we can support queries with a speedup of two to three orders of magnitude compared to motion detection without an index. For high resolution video, the index size is about 20% of the compressed video size.
Original languageEnglish
Title of host publicationProceedings of the IEEE International Symposium on Multimedia (ISM2014)
Number of pages4
PublisherIEEE Press
Publication date2014
Pages24-27
ISBN (Print)978-0-7695-5437-2
DOIs
Publication statusPublished - 2014
EventIEEE International Symposium on Multimedia 2014 - The Splendor Hotel Taichung, Taichung, Taiwan, Province of China
Duration: 10 Dec 201412 Dec 2014
Conference number: 10
http://ism2014.asia.edu.tw/index.html

Conference

ConferenceIEEE International Symposium on Multimedia 2014
Number10
LocationThe Splendor Hotel Taichung
CountryTaiwan, Province of China
CityTaichung
Period10/12/201412/12/2014
Internet address

Keywords

  • Motion detection index
  • Motion detection data structure
  • Surveillance video
  • Video analysis
  • Data structure

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