Motion imagery processing and exploitation (MIPE) / Amado Cordova, Lindsay D. Millard, Lance Menthe, Robert A. Guffey, Carl Rhodes.
Contributor(s): Millard, Lindsay [author.] | Menthe, Lance [author.] | Guffey, Robert A [author.] | Rhodes, Carl A [author.] | Project Air Force (U.S.). Force Modernization and Employment Program | Rand Corporation [publisher.] | United States. Air Force.Material type: TextSeries: JSTOR eBooks.Publisher: Santa Monica, CA : RAND, 2013Description: 1 online resource (xv, 36 p.) color illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9780833084828 (electronic bk.); 0833084828 (electronic bk.).Subject(s): Image analysis -- United States | Image processing | Military intelligence -- United StatesAdditional physical formats: Print version:: Motion Imagery Processing and Exploitation (MIPE).Online resources: Click here to view this ebook.
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|Electronic Book||UT Tyler Online Online||TA1637 .C67 2013 (Browse shelf)||https://ezproxy.uttyler.edu/login?url=http://www.jstor.org/stable/10.7249/j.ctt5vjwj4||Available||ocn869853532|
"RAND Project Air Force."
Includes bibliographical references (p. 31-36).
Introduction -- Motion Imagery Automatic and Assisted Target Recognition -- Testing and Evaluating Current and Future MIPE Systems -- Conclusions and Recommendations -- Appendix: Summary of Video Analytics Technology from Pacific Northwest National Laboratory.
Description based on print version
This report defines and investigates the potential of motion imagery processing and exploitation (MIPE) systems, which can help U.S. military intelligence analysts optimize their response to the current information deluge and enable them to continue to exploit a wide range of motion imagery collections. The authors define MIPE as the collection of capabilities and enabling technologies, tools, and systems that aid analysts in the detection, identification, and tracking of objects of interest (OOIs), such as humans and vehicles; in the identification of activities of interest (AOIs); and in the characterization of relationships between and among OOIs and AOIs in live and archival video. The authors examined the needs of motion imagery analysts, identified MIPE capabilities that could assist in meeting those needs, and assessed the technical readiness of MIPE systems. Recommendations include using MIPE systems to focus analysts' attention on significant video frames, investing in systems that take advantage of many sources of information, and standardizing MIPE test plans.