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AdaBoost 알고리즘을 이용한 얼굴인식 및 선박용 감시로봇 개발

Face Recognition using AdaBoost Algorithm and Development of Surveillance Robot for a Ship

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초록

This study developed a surveillance robot for a ship. The developed robot consists of ultrasonic sensors, an actuator, a lighting fixture and a camera. The ultrasonic sensors are used to avoid collision with obstacles in the environment. The actuator is a servo motor system. The developed robot has four drive wheels for driving. The lighting fixture is used to guide the robot in a dark environment. To transmit an image, a camera with a pan moving and a tilt moving is equipped on the upper part of the robot. AdaBoost algorithm trained with 15 features, is used for face recognition. In order to evaluate the face recognition of the developed robot, experiments were performed.

Abstract

This study developed a surveillance robot for a ship. The developed robot consists of ultrasonic sensors, an actuator, a lighting fixture and a camera. The ultrasonic sensors are used to avoid collision with obstacles in the environment. The actuator is a servo motor system. The developed robot has four drive wheels for driving. The lighting fixture is used to guide the robot in a dark environment. To transmit an image, a camera with a pan moving and a tilt moving is equipped on the upper part of the robot. AdaBoost algorithm trained with 15 features, is used for face recognition. In order to evaluate the face recognition of the developed robot, experiments were performed.

참고문헌 (7)

  1. IFR, "WORLD ROBOTICS 2006" (2006), IFR
  2. Ministry of Commerce, "Industry and Energy, Statistical Research of Robot Industry" (2006), Ministry of Commerce
  3. H. S. Choi, "Development of a Remotely Operated Vehicle for Investigation the coastal sea", Proceedings of the KSME 2007 Autumn Annual Meeting, pp.125~128 (2007)
  4. K. S. Fu, "Robotics" (1987), Mc Grow Hill
  5. P. J. McKerrow, "Introduction to Robotics" (1993), Addison Wesley
  6. Steven Abney, "Boosting applied to tagging and PP attachment", In Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (1999)
  7. 김정현, "영상처리 AdaBoost 기반의 실시간 고속 얼굴검출 및 추적시스템의 개발", 제어·자동화·시스템공학 논문지, 13(11), pp.1074~1081 (2007)

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