Abstract
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A neural behavior initiating agent (BIA) is proposed to integrate relevant compressed image information coming from others cooperating and specialized neural agents. Using this arrangement the problem of tracking and recognizing a moving icon has been solved by partitioning it into three simpler and separated tasks. Neural agents associated to those tasks proved to be easier to train and show a good general performance. The obtained neural controller can handle spurious images and solve an acute image related task in a dynamical environment. Under prolonged dead-lock conditions the controller shows traces of genuine spontaneity. The overall performance has been tested using a pan and tilt camera platform and real images taken from several objects, showing the good tracking results discussed in the paper. | |
International
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Si |
Congress
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IJCNN, Internacional Join Conference on Neural Networks |
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960 |
Place
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Barcelona_SPAIN |
Reviewers
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Si |
ISBN/ISSN
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978-1-4244-6917-8 |
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Start Date
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17/07/2010 |
End Date
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23/07/2010 |
From page
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420 |
To page
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425 |
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IJCNN, Internacional Join Conference on Neural Networks |