NDLI: A novel technique for indexing video surveillance data

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A novel technique for indexing video surveillance data

Content Provider	ACM Digital Library
Author	Keogh, Eamonn Ratanamahatana, Chotirat Ann Celly, Bhrigu Zordan, Victor Brian
Abstract	Recent worldwide events have renewed interest in the use of video surveillance as a tool for private security, law enforcement and military applications. After appropriate feature extraction has taken place, most video surveillance problems are reduced to the problem of efficiently and robustly matching motion streams. Since all natural motion typically has some variability in the time axis, Dynamic Time Warping (DTW), a technique that aligns the motion streams before calculating their similarity, is typically used. However, DTW can only address the problem of local scaling. As we demonstrate in this work, uniform scaling may be just as important for meaningful automatic analysis of video surveillance data streams. In this work, we demonstrate a novel technique to index of similarity search under uniform scaling. As we will demonstrate, our technique is simple and intuitive, and can achieve a speedup of 2 to 3 orders of magnitude under realistic settings.
Starting Page	98
Ending Page	106
Page Count	9
File Format	PDF
ISBN	158113780X
DOI	10.1145/982452.982465
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2003-11-02
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Lower bounding Uniform scaling Surveillance data Indexing
Content Type	Text
Resource Type	Article

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