4 research outputs found

    An Evaluation Schema for the Ethical Use of Autonomous Robotic Systems in Security Applications

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    Motion imagery processing and exploitation (MIPE)

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    "RAND Project Air Force."Includes bibliographical references (p. 31-36).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 analystspâ0sb9s attention on significant video frames, investing in systems that take advantage of many sources of information, and standardizing MIPE test plans

    Motion imagery processing and exploitation (MIPE)

    No full text
    "RAND Project Air Force."Includes bibliographical references (p. 31-36).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 analystspâ0sb9s attention on significant video frames, investing in systems that take advantage of many sources of information, and standardizing MIPE test plans
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