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DARPA advances video analysis tools

A massive amount of data from video sensors is collected in theater, and there aren鈥檛 enough analysts or time available to review. Reducing the amount of data or the number of sensors isn鈥檛 the answer, and there will never be enough analysts. The solution lies in better automated capabilities that can identify areas and activities that require human analyst attention.

programs may soon enable better warfighter analysis of huge amounts of data generated from multiple types of sensors. 鈥淏ad guys do bad things, such as all the actions involved in burying an IED 鈥 so it is activity that matters. This is especially true when bad guys look, dress, and drive vehicles like those around them,鈥 said Mita Desai, program manager for VIRAT and PerSEAS. 鈥淭he analysis tools to find these activities and the underlying actions just don鈥檛 exist, which is why there is such interest in activity-based analysis and exploitation.鈥

Text searching and algorithms for facial and other object recognition already exist. Up to now, finding actions of interest within previously untagged, raw video has been a resource drain and such a technical challenge as to seem 鈥榠mpossible鈥. Desai explained, 鈥淭he objectives of VIRAT and PerSEAS are NOT to replace human analysts, but to make them more effective and efficient by reducing their cognitive load and enabling them to search for activities and threats quickly and easily.鈥

DARPA Video and Image Retrieval and Analysis Tool (VIRAT)

With VIRAT鈥檚 ability to identify and highlight key actions and PerSEAS鈥檚 ability to 鈥榮ee鈥 dangerous combinations of actions as activities, analysts will soon be able to concentrate on more detailed reviews and understanding of the data.

The initial prototype of VIRAT works in both forensic mode (finding activities in thousands of hours of archived, untagged data) and streaming mode (highlighting actions as the video download is being viewed). Additional research and development work is underway for PerSEAS prior to deployment for field testing.

VIRAT is focused on full-motion video, from platforms such as Predator or Aerostats, allowing analysts to either monitor the live downlink for specific actions of interest or search an existing archive for past occurrences. There searches are conducted using a video clip as the input query. VIRAT finds actions that are short in duration and occur in small geographic areas. PerSEAS focuses on wide-area coverage, such as data from Constant Hawk, Gorgon Stare, ARGUS-IS and other persistent sensors. PerSEAS observes multiple actions over a long duration and large geographic regions to postulate complex threat activities. Algorithms from VIRAT provide some of the underlying capabilities within PerSEAS.

Provided by DARPA

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