DocumentCode :
248554
Title :
Foundational metadata for image based cognition
Author :
Viviani, Gary L. ; Delp, Edward J.
Author_Institution :
Insitu, Boeing Co., Bingen, WA, USA
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
2413
Lastpage :
2417
Abstract :
The need to create useful information from full motion video gathered by drones is a significant motivation for devising methods to approximate human cognitive behaviors. Additionally, the regulatory needs associated with drone systems has spawned the requirement to be able to confirm, or audit, the activities of such devices. A conditional approach, as compared with a generalized video processing environment, is presented that associates practical and realistic constraints to simplify the problem of finding useful information from video acquired by a drone into something that is tractable and consistent with real-world requirements. A primary contribution of this paper is to introduce the concept of continuous cognition from a theoretical perspective, followed by a practical application derived from an operational system.
Keywords :
image motion analysis; image recognition; video signal processing; conditional approach; continuous cognition; drone systems; foundational metadata; full motion video; generalized video processing environment; human cognitive behaviors; image based cognition; Approximation methods; Cognition; Controllability; Robots; Unmanned aerial vehicles; Metadata; Multi-dimensional probability density functions; Statistical Pattern Recognition; orthonormal series approximations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025488
Filename :
7025488
Link To Document :
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