NDLI: A new paradigm for persistent wide area surveillance

Content Provider	IEEE Xplore Digital Library
Author	Coulter, L.L. Stow, D.A. Yu Hsin Tsai Chavis, C.M. McCreight, R.W. Lippitt, C.D. Fraley, G.W.
Copyright Year	2012
Description	Author affiliation: TerraPan Labs, LLC. La Mesa, CA, USA (Lippitt, C.D.; Fraley, G.W.) \|\| NEOS Ltd. Prescott, AZ, USA (McCreight, R.W.) \|\| Department of Geography, San Diego State University, CA, USA (Coulter, L.L.; Stow, D.A.; Yu Hsin Tsai; Chavis, C.M.)
Abstract	A novel and patent pending approach representing a new paradigm for persistent wide area surveillance is presented. As part of the Department of Homeland Security (DHS) National Center for Border Security and Immigration (BORDERS), San Diego State University (SDSU) researchers have developed a method for accurate and automated detection of people and vehicles moving through remote border regions or other uninhabited areas. Instead of imaging small areas at video frame rates (as with traditional surveillance), the approach uses a repeat pass, location-based image capture approach that trades time for space and enables repetitive imaging of large areas at lower repetition rates. Multiple targets may be detected and tracked over large areas, compared to video monitoring which focuses on small areas and often on individual targets previously detected using other means. The approach utilizes high frequency, repeat pass image collection (e.g., same imaging stations every 15 minutes) with frame array cameras to monitor large areas with a single aircraft and detect and locate objects moving through uninhabited landscapes. High frequency imaging from low-cost light aircraft is utilized to characterize the expected brightness response of each patch of ground corresponding to the ground resolution element of a pixel (3-inch ground sampling distance for this study), and an anomaly detection algorithm is used to detect subtle deviations from this expected response. Once anomalies (i.e., objects that have moved) are detected, small image chips (i.e., subsets) may be transmitted wirelessly to command and control stations so that the detection results may be visually verified in near real-time. The detection algorithm utilizes unique change detection thresholds per pixel, making the approach highly sensitive. Initial test results indicate that 98% of people and 100% of vehicles were correctly detected, with virtually no false detection (only 12 pixels within 19 images 21 megapixel in size). SDSU researchers, NEOS Ltd., and commercial partners are working to build a prototype system to further test and demonstrate this near real-time detection approach. This work is developed by the National Center for Border Security and Immigration: A Department of Homeland Security Science and Technology Center of Excellence.
Starting Page	51
Ending Page	60
File Size	3539895
Page Count	10
File Format	PDF
ISBN	9781467327084
e-ISBN	9781467327091
DOI	10.1109/THS.2012.6459825
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	border security Terrorism Brightness UAS video UAV Vehicles airborne real-time pattern-of-life Imaging change detection Real-time systems Spatial resolution Aircraft wide area surveillance
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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