DSpace

King Saud University Repository >
King Saud University >
COLLEGES >
Science Colleges >
College of Computer and Information Sciences >
College of Computer and Information Sciences >

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15681

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

Files in This Item:

File Description SizeFormat
DrBatouche-Journal-1.docx12.05 kBMicrosoft Word XMLView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

DSpace Software Copyright © 2002-2007 MIT and Hewlett-Packard - Feedback