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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/15681
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| Title: | Neural Network for Object Tracking |
| Authors: | M. Bouzenada
Mohamed Batouche |
| Keywords: | Object Tracking, ANN,Real time version, Video Imaging |
| Issue Date: | 2007 |
| Abstract: | Real time object tracking is a problem which involves extraction and processingofcriticalinformation from complex and uncertain image data in a short time. In this study we present a global based approach for object tracking in real images. Knowing grey level images between target and estimated region containing the tracked objects we employe and artificial neural network (ANN). |
| URI: | http://hdl.handle.net/123456789/15681 |
| Appears in Collections: | College of Computer and Information Sciences
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