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SETSCI - Volume 3 (2018)
ISAS2018-Winter - 2nd International Symposium on Innovative Approaches in Scientific Studies, Samsun, Turkey, Nov 30, 2018

Object Recognition System Based on Oriented FAST and Rotated BRIEF (ISAS2018-Winter_32)
Majeed A. Mohsin  ABDULMAJEED1, Levent Seyfi2*
1Konya Technical University, Konya, Turkey
2Konya Technical University, Konya, Turkey
* Corresponding author: leventseyfi@selcuk.edu.tr
Published Date: 2019-01-14   |   Page (s): 179-181   |    36     8

ABSTRACT Over the last few years, object recognition systems take the researchers' attention. The revolution in the artificial
intelligence and computer vision systems and algorithms drives to numerous approaches. In this research, we are presenting an
object recognition system that used ORB (Oriented FAST and Rotated BRIEF) as a feature extraction method, the proposed
approach used as a robot system that performs objects detection and recognition tasks. We used ORB to detect preset features in
a given video frame obtained from the camera at real-time and then used Brute-force matcher to match a new video frame features
with the object image that we want the robot to track it and recognize it. The matched point must have a distance ratio of 0.65.  
KEYWORDS Object recognition, ORB, BRIEF, FAST, RC Robot, Feature matching, Brute-force Computer Vision
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