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SURF 기반 실시간 영상인식 최적화 시스템 설계 및 구현
이승기(Seung-Gi Lee),박진렬(Jin-Lyul Park),김영진(Young-Jin Kim),최승환(Seung-Hwan Choi) 대한전자공학회 2015 대한전자공학회 학술대회 Vol.2015 No.6
There has been research about visual recognition for video surveillance and various algorithms are advancing. This paper proposes a optimized system designed to improve rate of visual recognition using SUHF(Speed Up Robust Feature) algorithm that has been widely used with a scale and rotation invariant feature descriptor. We have also implemented visual recognition system using constraints of properties of homography matrix and RANSAC(Random Sample Consensus) for removing mismatched feature points.