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Proceedings Paper

A baseline for the scene understanding challenge problem
Author(s): Gregory Arnold; Jared L. Culbertson; Todd V. Rovito; Euvondia Barto; Mary Ann Harrison; Stephen Walls
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Paper Abstract

A Scene Understanding Challenge Problem was released by AFRL at this conference in 2015 in response to DARPA’s Mathematics, Sensing, Exploitation, and Execution (MSEE) program. We consider a scene understanding system as a generalization of typical sensor exploitation systems where instead of performing a narrowly defined task (e.g., detect, track, classify, etc.), the system can perform general user-defined tasks specified in a query language. That paper1 laid out the general challenges and methods for developing scene understanding performance models. This is an enormously challenging problem, so now AFRL is illustrating the methods with a baseline system primarily developed by the University of California, Los Angeles (UCLA) during the MSEE program. This system will be publicly available for others to utilize, compare, and contrast with related methods. This paper will further explain and provide insights into the challenges, illustrating them with examples from a publicly available data set. Our intent is that these tools will relieve the requirement for developing an entire system and enable progress to occur by focusing on individual elements of the system. Finally, we will provide details as to how interested researchers may obtain the system and the data.

Paper Details

Date Published: 17 May 2016
PDF: 11 pages
Proc. SPIE 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, 98420X (17 May 2016); doi: 10.1117/12.2220419
Show Author Affiliations
Gregory Arnold, Matrix Research Inc. (United States)
Jared L. Culbertson, Air Force Research Lab. (United States)
Todd V. Rovito, Air Force Research Lab. (United States)
Euvondia Barto, Matrix Research Inc. (United States)
Mary Ann Harrison, Matrix Research Inc. (United States)
Stephen Walls, Matrix Research Inc. (United States)

Published in SPIE Proceedings Vol. 9842:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXV
Ivan Kadar, Editor(s)

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