• Title, Summary, Keyword: 손 추적

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Finger-Gesture Recognition Using Concentric-Circle Tracing Algorithm (동심원 추적 알고리즘을 사용한 손가락 동작 인식)

  • Hwang, Dong-Hyun;Jang, Kyung-Sik
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.12
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    • pp.2956-2962
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    • 2015
  • In this paper, we propose a novel algorithm, Concentric-Circle Tracing algorithm, which recognizes finger's shape and counts the number of fingers of hand using low-cost web-camera. We improve algorithm's usability by using low-price web-camera and also enhance user's comfortability by not using a additional marker or sensor. As well as counting the number of fingers, it is possible to extract finger's shape information whether finger is straight or folded, efficiently. The experimental result shows that the finger gesture can be recognized with an average accuracy of 95.48%. It is confirmed that the hand-gesture is an useful method for HCI input and remote control command.

A Hand Gesture Recognition System using 3D Tracking Volume Restriction Technique (3차원 추적영역 제한 기법을 이용한 손 동작 인식 시스템)

  • Kim, Kyung-Ho;Jung, Da-Un;Lee, Seok-Han;Choi, Jong-Soo
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.6
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    • pp.201-211
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    • 2013
  • In this paper, we propose a hand tracking and gesture recognition system. Our system employs a depth capture device to obtain 3D geometric information of user's bare hand. In particular, we build a flexible tracking volume and restrict the hand tracking area, so that we can avoid diverse problems caused by conventional object detection/tracking systems. The proposed system computes running average of the hand position, and tracking volume is actively adjusted according to the statistical information that is computed on the basis of uncertainty of the user's hand motion in the 3D space. Once the position of user's hand is obtained, then the system attempts to detect stretched fingers to recognize finger gesture of the user's hand. In order to test the proposed framework, we built a NUI system using the proposed technique, and verified that our system presents very stable performance even in the case that multiple objects exist simultaneously in the crowded environment, as well as in the situation that the scene is occluded temporarily. We also verified that our system ensures running speed of 24-30 frames per second throughout the experiments.

Face and Hand Tracking using MAWUPC algorithm in Complex background (복잡한 배경에서 MAWUPC 알고리즘을 이용한 얼굴과 손의 추적)

  • Lee, Sang-Hwan;An, Sang-Cheol;Kim, Hyeong-Gon;Kim, Jae-Hui
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.39 no.2
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    • pp.39-49
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    • 2002
  • This paper proposes the MAWUPC (Motion Adaptive Weighted Unmatched Pixel Count) algorithm to track multiple objects of similar color The MAWUPC algorithm has the new method that combines color and motion effectively. We apply the MAWUPC algorithm to face and hand tracking against complex background in an image sequence captured by using single camera. The MAWUPC algorithm is an improvement of previously proposed AWUPC (Adaptive weighted Unmatched Pixel Count) algorithm based on the concept of the Moving Color that combines effectively color and motion information. The proposed algorithm incorporates a color transform for enhancing a specific color, the UPC(Unmatched Pixel Count) operation for detecting motion, and the discrete Kalman filter for reflecting motion. The proposed algorithm has advantages in reducing the bad effect of occlusion among target objects and, at the same time, in rejecting static background objects that have a similar color to tracking objects's color. This paper shows the efficiency of the proposed MAWUPC algorithm by face and hands tracking experiments for several image sequences that have complex backgrounds, face-hand occlusion, and hands crossing.

Real-Time Hand Gesture Tracking & Recognition (실시간 핸드 제스처 추적 및 인식)

  • Ha, Jeong-Yo;Kim, Gye-Young;Choi, Hyung-Il
    • Proceedings of the Korean Society of Computer Information Conference
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    • pp.141-144
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    • 2010
  • 본 논문에서는 컴퓨터 비전에 기반을 둔 방법으로 실시간으로 사람의 손의 모양을 인식하는 알고리즘을 제안한다. 기본적인 전처리 과정과 피부 값의 검출을 통해서 사용자의 피부색상을 검출한 후 팔 영역과 얼굴영역을 제거하고, 손 영역만 검출한 뒤 손의 무게중심을 구한다. 그 후에 손의 궤적을 추적하기 위해 칼만필터를 이용하였으며, 손의 모양을 인식하기 위한 방법으로 Hidden Markov Model을 이용하여 사용자의 손 모양 6가지를 학습한 후 인식하였다. 실험을 통하여 제안한 방법의 효과를 입증하였다.

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Automatic Hand Tracking System using Skin Color Histogram (피부색 히스토그램 검출을 통해 향상된 자동 손 추적 시스템)

  • Kim, Beom-Joon;Shin, Byeong-Seok
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.1477-1479
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    • 2015
  • 기존의 연구와 같이 정확한 피부색 영역을 추출하기 위해 색상공간을 조절하는 방식은 조명이나 주변환경의 영향에 따라 잘못된 결과를 낼 수 있다. Camshift 알고리즘을 이용한 추적을 할 때에도 대상에게 맞춰진 피부색 히스토그램을 이용해서 추적하지 않으므로 범용성이 떨어진다. 이러한 문제점을 해결하기 위해 Camshift 알고리즘의 최초추적 윈도우를 결정하고 히스토그램을 결정하여손 피부색 추적성능을 향상시켰다. 보편적인 피부색 필터를 이용하여 인체 전경을 추출하고, haar like feature detection (특징검출)을 이용하여 손 영역을 검색한다. 이후 피부색 필터를 통해 이진화 된 이미지를 이용해 원 영상을 마스킹 한 후 사용자 고유의 피부색의 히스토그램을 결정한다. 이 방법으로 얻은 히스토그램을 Camshift알고리즘에 적용하면 기존방식 으로 생성한 히스토그램을 사용할 때보다 좋은 추적 성능을 보인다.

Hand Gesture Recognition Using HMM(Hidden Markov Model) (HMM(Hidden Markov Model)을 이용한 핸드 제스처인식)

  • Ha, Jeong-Yo;Lee, Min-Ho;Choi, Hyung-Il
    • Journal of Digital Contents Society
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    • v.10 no.2
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    • pp.291-298
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    • 2009
  • In this paper we proposed a vision based realtime hand gesture recognition method. To extract skin color, we translate RGB color space into YCbCr color space and use CbCr color for the final extraction. To find the center of extracted hand region we apply practical center point extraction algorithm. We use Kalman filter to tracking hand region and use HMM(Hidden Markov Model) algorithm (learning 6 type of hand gesture image) to recognize it. We demonstrated the effectiveness of our algorithm by some experiments.

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Detection Accuracy Improvement of Hang Region using Kinect (키넥트를 이용한 손 영역 검출의 정확도 개선)

  • Kim, Heeae;Lee, Chang Woo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.11
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    • pp.2727-2732
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    • 2014
  • Recently, the researches of object tracking and recognition using Microsoft's Kinect are being actively studied. In this environment human hand detection and tracking is the most basic technique for human computer interaction. This paper proposes a method of improving the accuracy of the detected hand region's boundary in the cluttered background. To do this, we combine the hand detection results using the skin color with the extracted depth image from Kinect. From the experimental results, we show that the proposed method increase the accuracy of the hand region detection than the method of detecting a hand region with a depth image only. If the proposed method is applied to the sign language or gesture recognition system it is expected to contribute much to accuracy improvement.

Efficient Fingertip Tracking and Mouse Pointer Control for Implementation of a Human Mouse (휴먼마우스 구현을 위한 효율적인 손끝좌표 추적 및 마우스 포인트 제어기법)

  • 박지영;이준호
    • Journal of KIISE:Software and Applications
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    • v.29 no.11
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    • pp.851-859
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    • 2002
  • This paper discusses the design of a working system that visually recognizes hand gestures for the control of a window based user interface. We present a method for tracking the fingertip of the index finger using a single camera. Our method is based on CAMSHIFT algorithm and performs better than the CAMSHIFT algorithm in that it tracks well particular hand poses used in the system in complex backgrounds. We describe how the location of the fingertip is mapped to a location on the monitor, and how it Is both necessary and possible to smooth the path of the fingertip location using a physical model of a mouse pointer. Our method is able to track in real time, yet not absorb a major share of computational resources. The performance of our system shows a great promise that we will be able to use this methodology to control computers in near future.

Real Time Recognition of Finger-Language Using Color Information and Fuzzy Clustering Algorithm (색상 정보와 퍼지 클러스터링 알고리즘을 이용한 실시간 수화 인식)

  • Kang, Hyo-Joo;Lee, Dong-Gyun;Kim, Kwang-Baek
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.419-423
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    • 2008
  • 사람의 손동작은 오랫동안 하나의 언어역할을 하는 통신 수단으로 사용되어 왔다. 이러한 손동작 중에서 가장 체계를 갖춘 수화는 청각장애인이 일반인과 일상 대화를 할 수 있도록 도와주는 주요한 통신 수단이다. 하지만 건청인들의 대부분이 습득하고 있지 않아 청각장애인들과 의사소통이 거의 불가능 한 것이 현실이다. 따라서 본 논문에서는 건청인과 청각장애인들 간의 의사소통을 원활하게 하기 위해 색상 정보와 퍼지 클러스터링 알고리즘을 이용한 실시간 수화 인식 방법을 제안한다. 제안된 방법은 화상 카메라를 통해 얻어진 실시간 영상에서 YCbCr 컬러 공간에서 색차 정보에 해당하는 Cb, Cr 정보를 각각 추출한 후, 이진화한 영상과 원본 영상에서 마스크를 통한 에지를 추출한 이진화 영상에 대해 논리연산을 통해 두 손의 위치와 외곽을 추출한다. 추출된 각 정보를 조합하여 8 방향 윤곽선 추적 알고리즘을 적용하여 객체의 위치를 추적한다. 그리고 추적한 객체의 영역에 대해 형태학적 정보를 이용하여 잡음을 제거한 후, 최종적으로 두 손의 영역을 추출한다. 추출된 손의 영역은 퍼지 클러스터링 기법 중의 FCM 알고리즘을 적용하여 수화의 특징들을 분류하고 인식한다. 제안된 방법의 성능을 평가하기 위해 화상카메라를 통해 얻어진 실시간 영상을 대상으로 실험한 결과, 제안된 방법이 두 손 영역의 추출에 효과적이고 수화 인식에 있어서 가능성을 확인하였다.

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The Modified Block Matching Algorithm for a Hand Tracking of an HCI system (HCI 시스템의 손 추적을 위한 수정 블록 정합 알고리즘)

  • Kim Jin-Ok
    • Journal of Internet Computing and Services
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    • v.4 no.4
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    • pp.9-14
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    • 2003
  • A GUI (graphical user interface) has been a dominant platform for HCI (human computer interaction). A GUI - based interaction has made computers simpler and easier to use. The GUI - based interaction, however, does not easily support the range of interaction necessary to meet users' needs that are natural. intuitive, and adaptive. In this paper, the modified BMA (block matching algorithm) is proposed to track a hand in a sequence of an image and to recognize it in each video frame in order to replace a mouse with a pointing device for a virtual reality. The HCI system with 30 frames per second is realized in this paper. The modified BMA is proposed to estimate a position of the hand and segmentation with an orientation of motion and a color distribution of the hand region for real - time processing. The experimental result shows that the modified BMA with the YCbCr (luminance Y, component blue, component red) color coordinate guarantees the real - time processing and the recognition rate. The hand tracking by the modified BMA can be applied to a virtual reclity or a game or an HCI system for the disable.

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