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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    Title :

    Neural network tracking and extension of positive tracking periods


    Contributors:

    Conference:

    International Society for Optical Engineering (SPIE) Defense and Security Symposium, Optical Pattern Recognition XV ; 2004 ; Orlando, FL, United States


    Publication date :

    2004-04-12


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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