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GTC ON-DEMAND

Computer Vision
Presentation
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Machine Perception at the Tactical Edge
Abstract:
The rapid deployment of video sensors across multiple platforms, such as security cameras, unmanned aerial vehicles, and satellites, has resulted in information overload, outpacing analyst ability to effectively use the capability. State-of-the-art processing, exploitation, and dissemination systems primarily focus on forensic use of stored video for identification and tracking of objects and subjects of interest. Not many capabilities exist to deploy and monitor in real-time 100s and 1,000s sensors in cities, bases, airports, and similar venues. Using cloud deep learning services or APIs (for example, Amazon Rekognition) is not only cost prohibitive, but also presents challenges to organizations with sensitive or classified data. We'll discuss various efforts at the Johns Hopkins University Applied Physics Laboratory to develop inexpensive, low size, weight, and power (SWaP) real-time automatic target recognition systems.
 
Topics:
Computer Vision, Intelligent Video Analytics
Type:
Talk
Event:
GTC Washington D.C.
Year:
2017
Session ID:
DC7233
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