주행 로봇을 위한 단일 카메라 영상에서 손든 자세 검출 알고리즘
Hand Raising Pose Detection in the Images of a Single Camera for Mobile Robot
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This paper proposes a novel method for detection of hand raising poses from images acquired from a single camera attached to a mobile robot that navigates unknown dynamic environments. Due to unconstrained illumination, a high level of variance in human appearances and unpredictable backgrounds, detecting hand raising gestures from an image acquired from a camera attached to a mobile robot is very challenging. The proposed method first detects faces to determine the region of interest (ROI), and in this ROI, we detect hands by using a HOG-based hand detector. By using the color distribution of the face region, we evaluate each candidate in the detected hand region. To deal with cases of failure in face detection, we also use a HOG-based hand raising pose detector. Unlike other hand raising pose detector systems, we evaluate our algorithm with images acquired from the camera and images obtained from the Internet that contain unknown backgrounds and unconstrained illumination. The level of variance in hand raising poses in these images is very high. Our experiment results show that the proposed method robustly detects hand raising poses in complex backgrounds and unknown lighting conditions.
Abstract
This paper proposes a novel method for detection of hand raising poses from images acquired from a single camera attached to a mobile robot that navigates unknown dynamic environments. Due to unconstrained illumination, a high level of variance in human appearances and unpredictable backgrounds, detecting hand raising gestures from an image acquired from a camera attached to a mobile robot is very challenging. The proposed method first detects faces to determine the region of interest (ROI), and in this ROI, we detect hands by using a HOG-based hand detector. By using the color distribution of the face region, we evaluate each candidate in the detected hand region. To deal with cases of failure in face detection, we also use a HOG-based hand raising pose detector. Unlike other hand raising pose detector systems, we evaluate our algorithm with images acquired from the camera and images obtained from the Internet that contain unknown backgrounds and unconstrained illumination. The level of variance in hand raising poses in these images is very high. Our experiment results show that the proposed method robustly detects hand raising poses in complex backgrounds and unknown lighting conditions.
참고문헌 (10)
- Kim, DoHyung, "Vision-based ann gesture recognition for a long-range human-robot interaction", The Journal of Supercomputing, 65(1), pp.336~352 (2013)
- Chiang, Cheng-Chieh, "Automatic Raising Hand Detection in an Intelligent Classroom", IJEIR, 3(2), pp.151~155 (2014)
- Xiaodong Duan, "Detection of hand-raising gestures based on body silhouette analysis", IEEE Robotics and Biomimetics, pp.1756~1761 (2009)
- Nazare, Tiago S., "Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications", pp.512~519 (2013), Springer Berlin Heidelberg
- Nyan Bo Bo, "Detection of a hand-raising gesture by locating the arm", IEEE Robotics and Biomimetics(ROBIO), pp.976~980 (2011)
- 김주창, "바디 제스처 인식을 위한 기초적 신체 모델 인코딩과 선택적", 비동시적 입력을 갖는 병렬 상태 기계, 2013, pp.8(1), 1~7[DOI]
- 김정대, "복도 주행 로봇을 위한 단일 카메라 영상에서의사람 검출", 로봇학회 논문지, 8(4), pp.238~246 (2013), 한국로봇학회
- Dalal, N., "Histograms of oriented gradients for human detection", IEEE Computer Vision and Pattern Recognition, 2005, 1, pp.886~893 (2005)
- P. Yogarajah, "A dynamic threshold approach for skin segmentation in color images", Proc. of IEEE Int. Conf. on Image Processing, pp.2225~2228 (2010)
- P. Kakumanu, "Asurvey of skin-color modeling and detection methods", Pattern Recognition, 40(3), pp.1106~1122 (2007)