Neural network tracking and extension of positive tracking periods

Jay C. Hanan; Tien-Hsin Chao; Pierre Moreels

doi:10.1117/12.548081

12 April 2004 Neural network tracking and extension of positive tracking periods

Jay C. Hanan, Tien-Hsin Chao, Pierre Moreels

Proceedings Volume 5437, Optical Pattern Recognition XV; (2004) https://doi.org/10.1117/12.548081
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

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.

Citation Download Citation

Jay C. Hanan, Tien-Hsin Chao, and Pierre Moreels "Neural network tracking and extension of positive tracking periods", Proc. SPIE 5437, Optical Pattern Recognition XV, (12 April 2004); https://doi.org/10.1117/12.548081

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