This report defines and investigates the potential of motion imagery processing and exploitation (MIPE) systems, which can enable military intelligence analysts to respond to the current information deluge and exploit a wide range of motion imagery collections. MIPE systems aid analysts in the detection, identification, and tracking of objects of interest and activities of interest in live and archival video.

Cover: Motion Imagery Processing and Exploitation (MIPE)
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Motion Imagery Processing and Exploitation (MIPE)

by Amado Cordova, Lindsay D. Millard, Lance Menthe, Robert A. Guffey, Carl Rhodes

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Research Question

  1. How can U.S. military intelligence personnel analyze motion imagery data more efficiently?

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.

Key Findings

These Recommendations Can Help Alleviate the Burden on Personnel Analyzing Motion Imagery

  • Use motion imagery processing and exploitation (MIPE) systems to focus analysts' attention on significant video frames.
  • Focus on specific target sets and environments.
  • Invest in systems that take advantage of many sources of information.
  • Standardize MIPE test plans by using metrics and truthed data sets.
  • Take advantage of near-term MIPE capabilities, such as background subtraction.

Table of Contents

  • Chapter One

    Introduction

  • Chapter Two

    Motion Imagery Automatic and Assisted Target Recognition

  • Chapter Three

    Testing and Evaluating Current and Future MIPE Systems

  • Chapter Four

    Conclusions and Recommendations

  • Appendix

    Summary of Video Analytics Technology from Pacific Northwest National Laboratory

Research conducted by

The research reported here was sponsored by the United States Air Force and conducted by RAND Project AIR FORCE.

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