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Neural network tracking and extension of positive tracking periods

Hanan, Jay C. and Chao, Tien-Hsin and Moreels, Pierre (2004) Neural network tracking and extension of positive tracking periods. In: Optical Pattern Recognition XV. Proceedings of SPIE. No.5437. Society of Photo-optical Instrumentation Engineers (SPIE) , Bellingham, WA, pp. 233-237. ISBN 9780819453600.

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Feature detectors have been considered for the role of supplying additional information to a neural network tracker. The feature detector focuses on areas of the image with significant information. Basically, if a picture says a thousand words, the feature detectors are looking for the key phrases (keypoints). These keypoints are rotationally invariant and may be matched across frames. Application of these advanced feature detectors to the neural network tracking system at JPL has promising potential. As part of an ongoing program, an advanced feature detector was tested for augmentation of a neural network based tracker. The advance feature detector extended tracking periods in test sequences including aircraft tracking, rover tracking, and simulated Martian landing. Future directions of research are also discussed.

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Additional Information:© 2004 Society of Photo-optical Instrumentation Engineers (SPIE). The research described in this paper was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration.
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Subject Keywords:autonomous tracking, feature extraction, feature detector, neural network, target recognition, data reduction
Series Name:Proceedings of SPIE
Issue or Number:5437
Record Number:CaltechAUTHORS:20190115-140213505
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Official Citation:Jay C. Hanan, Tien-Hsin Chao, Pierre Moreels, "Neural network tracking and extension of positive tracking periods," Proc. SPIE 5437, Optical Pattern Recognition XV, (12 April 2004); doi: 10.1117/12.548081
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:92290
Deposited By: Tony Diaz
Deposited On:15 Jan 2019 23:25
Last Modified:16 Nov 2021 03:48

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