Indexing Motion Detection Data for Surveillance Video

Author

Vind, Soren ; Bille, Philip ; Gortz, Inge Li

Author_Institution

Dept. of Appl. Math. & Comput. Sci., Tech. Univ. of Denmark, Copenhagen, Denmark

fYear

2014

fDate

10-12 Dec. 2014

Firstpage

24

Lastpage

27

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.

Keywords

data compression; image motion analysis; image resolution; indexing; query processing; video coding; video surveillance; compressed video size; fast motion detection queries; high-resolution video; index size; motion detection data indexing; surveillance video; time interval; video data indexing; Data structures; Histograms; Indexes; Motion detection; Rain; Streaming media; Surveillance; data structure; motion detection data structure; motion detection index; surveillance video; video analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia (ISM), 2014 IEEE International Symposium on

Conference_Location

Taichung

Print_ISBN

978-1-4799-4312-8

Type

conf

DOI

10.1109/ISM.2014.36

Filename

7032949