NDLI: Pendeteksian Rambu Lalu Lintas Dengan Algoritma Speeded up Robust Features (surf)

Content Provider	Semantic Scholar
Author	Gunawan, Alexander A. S. Gerardus, A. Pascal Gazali, Wikaria
Copyright Year	2013
Abstract	Feature detection is a method for taking abstract information called features in an image and confirming whether there are the features on other images or not. One application of feature detection is object detection. This study aims to describe how to detect visual object at high speed, which is applied to the problem of traffic signs detection. In this study, the application was developed for the detection of traffic signs, which can be used on a moving vehicle, using the speeded up robust features (SURF) algorithm.
Starting Page	91
Ending Page	96
Page Count	6
File Format	PDF HTM / HTML
Volume Number	13
Alternate Webpage(s)	http://library.binus.ac.id/eColls/eJournal/03_ALexander.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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