Paper
14 April 2008 Real-time aerial video exploitation station for small unmanned aerial vehicles
Jason B. Gregga, Art Pope, Kathy Kielmeyer, Yang Ran
Author Affiliations +
Abstract
SET Corporation, under contract to the Air Force Research Laboratory, Sensors Directorate, is building a Real-time Aerial Video Exploitation (RAVE) Station for Small Unmanned Aerial Vehicles (SUAVs). Users of SUAVs have in general been underserved by the exploitation community because of the unique challenges of operating in the SUAV environment. SUAVs are often used by small teams without the benefits of dedicated personnel, equipment, and time for exploitation. Thus, effective exploitation tools for these users must have sufficiently automated capabilities to keep demands on the team's labor low, with the ability to process video and display results in real-time on commonly-found ruggedized laptops. The RAVE Station provides video stabilization, mosaicking, moving target indicators (MTI), tracking, and target classification, and displays the results in several different display modes. This paper focuses on features of the RAVE Station implementation that make it efficient, low-cost, and easy to use. The software architecture is a pipeline model, allowing each processing module to tap off the pipe, and to add new information back into the stream, keeping redundancy to a minimum. The software architecture is also open, allowing new algorithms to be developed and plugged in. Frame-to-frame registration is performed by a feature-tracking algorithm which employs RANSAC to discard outlying matches. MTI is performed via a fast and robust three frame differencing algorithm. The user interface and exploitation functions are simple, easy to learn and use. RAVE is a capable exploitation tool that meets the needs of SUAV users despite their challenging environment.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jason B. Gregga, Art Pope, Kathy Kielmeyer, and Yang Ran "Real-time aerial video exploitation station for small unmanned aerial vehicles", Proc. SPIE 6946, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications V, 69460J (14 April 2008); https://doi.org/10.1117/12.786423
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Cited by 1 scholarly publication.
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KEYWORDS
Video

Video acceleration

Unmanned aerial vehicles

Human-machine interfaces

Video processing

Target detection

Computer architecture

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