Title :
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
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;
Conference_Titel :
Multimedia (ISM), 2014 IEEE International Symposium on
Conference_Location :
Taichung
Print_ISBN :
978-1-4799-4312-8
DOI :
10.1109/ISM.2014.36
