Fuzzy time series-based trajectory estimation of a moving object

Authors:
Mustafa Yagimli;Hakan Tozan
Affiliations:
Department of Electric and Electronic Engineering, Department of Industrial Engineering, Turkish Naval Academy, Tuzla, Istanbul, Turkiye;Department of Electric and Electronic Engineering, Department of Industrial Engineering, Turkish Naval Academy, Tuzla, Istanbul, Turkiye
Venue:
NN'10/EC'10/FS'10 Proceedings of the 11th WSEAS international conference on nural networks and 11th WSEAS international conference on evolutionary computing and 11th WSEAS international conference on Fuzzy systems
Year:
2010

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Abstract

Trajectory estimation is one of the relatively new complicated topics of computer vision. Due to its nonignorable relation with defense and security systems, many studies have been made related this vital subject. In this study; using an image processing technique, one-step ahead coordinates of a moving object is estimated with an adaptive fuzzy time series forecasting model.