• Title/Summary/Keyword: 모션 검출

Search Result 118, Processing Time 0.024 seconds

Presentation control of a computer using hand motion identification rules (손동작 식별 규칙을 이용한 컴퓨터의 프레젠테이션 제어)

  • Lee, Kyu-Won
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.22 no.9
    • /
    • pp.1172-1178
    • /
    • 2018
  • A system that control computer presentations by using the hand motion recognition and identification is proposed. The system recognizes and identifies various types of motion in hand motion, controlls the presentation without additional control devices. To recognize hand movements, it performs a face and hand region detection. Facial area is detected using Haar classifier and hand region is extracted according to skin color information on HSV color model. The face area is used to determine the beginning and end of hand gestures, the size and direction of motion. It recognizes various hand gestures and uses them to control computer presentations according to the hand motion identification rules that are proposed and set horizontal and vertical axes from the face area. It is confirmed that 97.2% recognition rate is obtained in about 1200 hand motion recognition experiments and the proposed algorithm is valid in presentation control.

SIFT based Image Similarity Search using an Edge Image Pyramid and an Interesting Region Detection (윤곽선 이미지 피라미드와 관심영역 검출을 이용한 SIFT 기반 이미지 유사성 검색)

  • Yu, Seung-Hoon;Kim, Deok-Hwan;Lee, Seok-Lyong;Chung, Chin-Wan;Kim, Sang-Hee
    • Journal of KIISE:Databases
    • /
    • v.35 no.4
    • /
    • pp.345-355
    • /
    • 2008
  • SIFT is popularly used in computer vision application such as object recognition, motion tracking, and 3D reconstruction among various shape descriptors. However, it is not easy to apply SIFT into the image similarity search as it is since it uses many high dimensional keypoint vectors. In this paper, we present a SIFT based image similarity search method using an edge image pyramid and an interesting region detection. The proposed method extracts keypoints, which is invariant to contrast, scale, and rotation of image, by using the edge image pyramid and removes many unnecessary keypoints from the image by using the hough transform. The proposed hough transform can detect objects of ellipse type so that it can be used to find interesting regions. Experimental results demonstrate that the retrieval performance of the proposed method is about 20% better than that of traditional SIFT in average recall.

Region-Based Moving Object Segmentation for Video Monitoring System (비디오 감시시스템을 위한 영역 기반의 움직이는 물체 분할)

  • 이경미;김종배;이창우;김항준
    • Journal of the Institute of Electronics Engineers of Korea CI
    • /
    • v.40 no.1
    • /
    • pp.30-38
    • /
    • 2003
  • This paper presents an efficient region-based motion segmentation method for segmenting of moving objects in a traffic scene with a focus on a Video Monitoring System (VMS). The presented method consists of two phases: motion detection and motion segmentation. Using the adaptive thresholding technique, the differences between two consecutive frames are analyzed to detect the movements of objects in a scene. To segment the detected regions into meaningful objects which have the similar intensity and motion information, the regions are initially segmented using a k-means clustering algorithm and then, the neighboring regions with the similar motion information are merged. Since we deal with not the whole image, but the detected regions in the segmentation phase, the computational cost is reduced dramatically. Experimental results demonstrate robustness in the occlusions among multiple moving objects and the change in environmental conditions as well.

Facial Characteristic Point Extraction for Representation of Facial Expression (얼굴 표정 표현을 위한 얼굴 특징점 추출)

  • Oh, Jeong-Su;Kim, Jin-Tae
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.9 no.1
    • /
    • pp.117-122
    • /
    • 2005
  • This paper proposes an algorithm for Facial Characteristic Point(FCP) extraction. The FCP plays an important role in expression representation for face animation, avatar mimic or facial expression recognition. Conventional algorithms extract the FCP with an expensive motion capture device or by using markers, which give an inconvenience or a psychological load to experimental person. However, the proposed algorithm solves the problems by using only image processing. For the efficient FCP extraction, we analyze and improve the conventional algorithms detecting facial components, which are basis of the FCP extraction.

Implementing Augmented Reality By Using Face Detection, Recognition And Motion Tracking (얼굴 검출과 인식 및 모션추적에 의한 증강현실 구현)

  • Lee, Hee-Man
    • Journal of the Korea Society of Computer and Information
    • /
    • v.17 no.1
    • /
    • pp.97-104
    • /
    • 2012
  • Natural User Interface(NUI) technologies introduce new trends in using devices such as computer and any other electronic devices. In this paper, an augmented reality on a mobile device is implemented by using face detection, recognition and motion tracking. The face detection is obtained by using Viola-Jones algorithm from the images of the front camera. The Eigenface algorithm is employed for face recognition and face motion tracking. The augmented reality is implemented by overlapping the rear camera image and GPS, accelerator sensors' data with the 3D graphic object which is correspond with the recognized face. The algorithms and methods are limited by the mobile device specification such as processing ability and main memory capacity.

Camera Motion Detection Using Estimation of Motion Vector's Angle (모션 벡터의 각도 성분 추정을 통한 카메라 움직임 검출)

  • Kim, Jae Ho;Lee, Jang Hoon;Jang, Soeun
    • Journal of Korea Multimedia Society
    • /
    • v.21 no.9
    • /
    • pp.1052-1061
    • /
    • 2018
  • In this paper, we propose a new algorithm that is robust against the effects of objects that are relatively unaffected by camera motion and can accurately detect camera motion even in high resolution images. First, for more accurate camera motion detection, a global motion filter based on entropy of a motion vector is used to distinguish the background and the object. A block matching algorithm is used to find exact motion vectors. In addition, a matched filter with the angle of the ideal motion vector of each block is used. Motion vectors including 4 kinds of diagonal direction, zoom in, and zoom out are added additionally. The experiment shows that the precision, recall, and accuracy of camera motion detection compared to the recent results is improved by 12.5%, 8.6% and 9.5%, respectively.

Gesture Recognition using binary processing and histogram graph with OpenCV (OpenCV 이진화처리와 히스토그램 그래프를 이용한 제스처인식)

  • Baek, Yeong-Tae;Lee, Se-Hoon;Kim, Ji-Seong
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2016.01a
    • /
    • pp.133-136
    • /
    • 2016
  • NUI는 마우스, 키보드 등의 HID장치를 사용하지 않고 사용자의 신체를 사용하여 장치를 제어하는 모션 인터페이스이다. 본 논문에서는 소형 임베디드보드 라즈베리파이와 라즈베리파이에 연결된 파이카메라를 통해 영상인식과 컴퓨터 비전을 위하여 최적화된 알고리즘을 제공하는 OpenCV를 이용하여 손의 제스처를 인식하여 기존 HID장비와 비교하여 더욱 인간 친화적이며 직관적인 NUI장치 인터페이스를 구현하고자 한다.

  • PDF

Wheelchair motion control system using acceleration sensor (가속도 센서를 이용한 휠체어 동작제어 방식)

  • Kwak, YunChang;Bae, Jongnam;Lee, Dong-Hee
    • Proceedings of the KIPE Conference
    • /
    • 2017.07a
    • /
    • pp.62-63
    • /
    • 2017
  • 본 논문에서는 휠체어의 탑승자의 구동력과 BLDCM(Brushless DC Motor) 에서 출력되는 보조력인 전기적인 구동력을 동시에 사용하는 탈부착형 하이브리드 휠체어의 동작제어방식을 제안한다. 기존에는 휠체어에 토크센서를 부착하여, 토크센서 신호의 피이드백을 통하여 보조력을 발생하는 방식이 적용되고 있지만, 제안된 방식에서는 토크센서의 사용없이 사용자의 동작을 간접적으로 검출하는 방식을 제안한다. 사용자가 휠체어의 핸드림을 조작할 때, 발생하는 휠체어의 동작을 3축 가속도 센서를 통해 모션을 예측하고, 이에 대응하는 구동력을 보조하는 PAS(Power Assist System)을 설계하였다. 사용자의 동작 예측을 위해, 3축 가속도 센서의 신호를 조합하여 전진과 후진 및 정지 상태 신호를 예측하는 방식을 시뮬레이션과 실험을 통해 증명하였다.

  • PDF

Autonomous driving drones using real-time face detection and motion recognition (실시간 얼굴 검출 및 모션 인식을 이용한 촬영용 자율 주행 드론)

  • Lee, Jay;Lee, Ju-Young;kim, Dong-Un;Jeon, Kyung Koo
    • Annual Conference of KIPS
    • /
    • 2018.10a
    • /
    • pp.509-511
    • /
    • 2018
  • 셀프 카메라로 배경과 함꼐 사용자 자기 자신의 전신 샷을 찍을 수 있도록 도와주는 '셀카봉'이 등장하였지만 아직도 사용자부터 카메라까지 거리의 한계가 존재하기 때문에 셀프 카메라를 찍는 것에 불편함이 있다. 이러한 문제점을 해결하기 위해 드론을 이용하여 셀프 카메라를 찍을 수 있도록 하는 기술을 제안한다. Real-Time 영상처리를 이용해 웹과 드론이 서로 통신을 하여 Haar Cascade 알고리즘을 기반으로 사용자의 얼굴을 실시간으로 인식하고 PID 제어를 통해 드론을 자동으로 조종한다면 사용자의 제스쳐에 인식해 드론의 촬영 기능을 컨트롤 할 수 있도록 한다.

Adaptive threshold-based Skin segmentation and hand tracking for gesture recognition (제스처 인식을 위한 적응적 임계값 기반의 피부영역 분할 기법 및 추적)

  • Chae, Seung-Ho;Seo, Jong-Hoon;Han, Tack-Don
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2012.06c
    • /
    • pp.424-426
    • /
    • 2012
  • 본 논문에서는 컬러영상 기반에서 배경과 잡음에 강인한 적응적 임계값 기반의 피부영역 기법을 제안하고 이를 활용한 응용프로그램을 제안한다. 배경과 전경을 분리시키는 코드북 알고리즘을 사용하여 배경을 제거하고, 분리된 영역에서 매 프레임 임계값과 모션에 따른 화소값을 검사하여 피부영역의 임계값을 갱신한다. 결과적으로 조명과 배경에 강인한 피부 영역 검출이 가능하며 이를 응용하여 사용자 인터페이스에 적용이 가능하다.