Human Interactive Method for a Ground Target Tracking Using Airborne Imaging System
published by Aِl-Baath University
in 2016
in Communication Engineering
and research's language is
العربية
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Abstract in English
This research presents a human interactive
method for ground target tracking using airborne imaging system. This method
depends on Template Matching using Zero Mean Normalized Cross
Correlation.
References used
Allen, J. G., Xu, R. Y., & Jin, J. S. (2003). Object Tracking Using CamShift Algorithm and Multiple Quantized Feature Spaces. Conferences in Research and Practice in Information Technology Vol. 36 (p. 5). Sydney: Australian Computer Society, Inc
Bay, H., Ess, A., Tuytelaars, T., & Van Gool, L. (2008). Speeded-Up Robust Features (SURF). Computer Vision and Image Understanding 110, 346–359
Briechle, K., & Hanebeck, U. D. (2001). Template Matching using Fast Normalized Cross Correlation. Munchen, Germany: Bavarian Research Foundation