ISSN: 1683-3198
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e-ISSN: 2309-4524
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DOI: 10.34028/iajit
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The International Arab Journal of Information Technology
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An Automated Real-Time People Tracking System Based on KLT Features Detection
Information Technology Department, Al-Balqa Applied University, Jordan 2Department of Computer Science, Princess Sumaya Uni versity for Technology, Jordan 3Department of Computer Science, Loughborough Univer sity, UK
# Object tracking
# kalman-filter
# features selection
# KLT
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