NDLI: Temporal structure methods for image-based change analysis

Content Provider	IEEE Xplore Digital Library
Author	Rimey, R. Keefe, D.
Copyright Year	2008
Description	Author affiliation: IS & GS, Advanced Technol. Oper. (ATO), Lockheed Martin, Bethesda, MD (Rimey, R.; Keefe, D.)
Abstract	This paper addresses the exploitation of massive numbers of image-derived change detections. We use the term ldquochange analysisrdquo to emphasize the intelligence value obtained from large numbers of change detection over long time intervals, rather than the emphasis by most researchers to date on ldquochange detectionrdquo methods and small numbers of change detections. Our methods emphasize local temporal descriptions of activities and include minimal spatial information about activities. Our three methods adapt and extend: (1) classic unsupervised pattern recognition operating on bag-of-words features; (2) Latent Semantic Analysis (LSA); and (3) probabilistic LSA (PLSA). These methods allow us to: (a) Detect and describe anomalous activities; (b) Discover categories of activity, describe a category of activity, and assign an activity to a category; (c) Retrieve similar activities from a historical database. We present experimental results that compare our methods (1)-(3) for performing functions (a)-(c), using webcam images of a town market square collected every few minutes over 74 days. We discuss how our techniques are equally applicable for change analysis using wide-area sensors.
Starting Page	1
Ending Page	7
File Size	3171144
Page Count	7
File Format	PDF
ISBN	9781424431250
ISSN	15505219
DOI	10.1109/AIPR.2008.4906461
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Radar tracking Event detection Intelligent sensors Sensor phenomena and characterization Data mining Pattern recognition Spatial databases Humans Text processing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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