WASHINGTON – U.S. intelligence researchers are approaching business to develop software program algorithms to determine people and vehicles in video from many various cameras, find these people and vehicles, and analyze the information for anomalies and threats.
Officials of the U.S. Intelligence Advanced Research Projects Agency (IARPA) in Washington issued a broad company announcement on Tuesday for the Video Linking and Intelligence From Non-Collaborative Sensors (Video LINCS) program.
The program first will use artificial intelligence (AI) and machine studying to determine and find people, later determine and find vehicles, and lastly determine and find generic objects throughout video collections. IARPA is the analysis arm of the U.S. Office of The Director of National Intelligence.
In at the moment’s world, video is a ubiquitous sensor, IARPA researchers clarify. Although voluminous video knowledge is collected, human analysts are too few and work too slowly to discern threats. Most human video analysis occurs in response to tragic incidents.
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In addition, completely different video sensors — even inside a facility — hardly ever collaborate with one another. Ultimately, the burden on human analysts is excessive, and requires vital experience, recall, and sources to tug threats out of mountains of video knowledge.
The Video LINCS program consists of two technical areas: figuring out people, vehicles, and generic objects throughout many video streams; and finding these object.
The Video LINCS goal is to reidentify objects throughout an arbitrary video assortment with none prior entry to the consultant video or the objects to be recognized.
The downside revolves round video that comes from many various sources with completely different traits which might be tough to affiliate.
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Video LINCS seeks to make use of video as an enter, and generated recognized object areas as an output. Geo-localization will present tracks of objects, which requires mapping from digicam coordinates to a typical reference body.
The Video LINCS program is deliberate as a four-year effort in three phases. The first 18-month section will determine and find people in video collections. An 18-month second section will determine and find people with clothes modifications, in addition to vehicles and generic objects. A yearlong third section will emphasize generic objects. Those bidding should suggest to all phases.
Those bidding ought to have experience in artificial intelligence (AI); laptop imaginative and prescient with object detection, monitoring, and modeling; deep studying; geometric digicam projections and inverse projections; picture and video geo-localization; machine studying; modeling and simulation; open set classification; gentle biometrics; software program engineering; software program integration; methods integration; ; car fingerprinting; and video knowledge era.
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Companies ought to submit proposals no later than 15 July 2024 to the IARPA Distribution and Evaluation System (IDEAS) on-line at https://iarpa-ideas.gov/Client/signin.aspx.
Email questions or issues to IARPA at [email protected]. More data is on-line at https://sam.gov/opp/e951e8e81d7442d6816e14b55dbbaf29/view, and at https://www.iarpa.gov/research-programs/video-lincs.
https://www.militaryaerospace.com/computers/article/55041937/video-analysis-people-and-vehicles-artificial-intelligence-ai
video analysis people and vehicles artificial intelligence (AI)
