• Title/Summary/Keyword: Color-based tracking

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A Detection System of Drowsy Driving based on Depth Information for Ship Safety Navigation (선박의 안전운항을 위한 깊이정보 기반의 졸음 감지 시스템)

  • Ha, Jun;Yang, Won-Jae;Choi, Hyun-Jun
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.20 no.5
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    • pp.564-570
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    • 2014
  • This paper propose a method to detect and track a human face using depth information as well as color images for detection of drowsy driving. It consists of a face detection procedure and a face tracking procedure. The face detection procedure basically uses the Adaboost method which shows the best performance so far. But it restricts the area to be searched as the region where the face is highly possible to exist. The face detected in the detection procedure is used as the template to start the face tracking procedure. The experimental results showed that the proposed detection method takes only about 23 % of the execution time of the existing method. In all the cases except a special one, the tracking error ratio is as low as about 1 %.

Human Tracking and Body Silhouette Extraction System for Humanoid Robot (휴머노이드 로봇을 위한 사람 검출, 추적 및 실루엣 추출 시스템)

  • Kwak, Soo-Yeong;Byun, Hye-Ran
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.6C
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    • pp.593-603
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    • 2009
  • In this paper, we propose a new integrated computer vision system designed to track multiple human beings and extract their silhouette with an active stereo camera. The proposed system consists of three modules: detection, tracking and silhouette extraction. Detection was performed by camera ego-motion compensation and disparity segmentation. For tracking, we present an efficient mean shift based tracking method in which the tracking objects are characterized as disparity weighted color histograms. The silhouette was obtained by two-step segmentation. A trimap is estimated in advance and then this was effectively incorporated into the graph cut framework for fine segmentation. The proposed system was evaluated with respect to ground truth data and it was shown to detect and track multiple people very well and also produce high quality silhouettes. The proposed system can assist in gesture and gait recognition in field of Human-Robot Interaction (HRI).

Hand Tracking and Hand Gesture Recognition for Human Computer Interaction

  • Bai, Yu;Park, Sang-Yun;Kim, Yun-Sik;Jeong, In-Gab;Ok, Soo-Yol;Lee, Eung-Joo
    • Journal of Korea Multimedia Society
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    • v.14 no.2
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    • pp.182-193
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    • 2011
  • The aim of this paper is to present the methodology for hand tracking and hand gesture recognition. The detected hand and gesture can be used to implement the non-contact mouse. We had developed a MP3 player using this technology controlling the computer instead of mouse. In this algorithm, we first do a pre-processing to every frame which including lighting compensation and background filtration to reducing the adverse impact on correctness of hand tracking and hand gesture recognition. Secondly, YCbCr skin-color likelihood algorithm is used to detecting the hand area. Then, we used Continuously Adaptive Mean Shift (CAMSHIFT) algorithm to tracking hand. As the formula-based region of interest is square, the hand is closer to rectangular. We have improved the formula of the search window to get a much suitable search window for hand. And then, Support Vector Machines (SVM) algorithm is used for hand gesture recognition. For training the system, we collected 1500 hand gesture pictures of 5 hand gestures. Finally we have performed extensive experiment on a Windows XP system to evaluate the efficiency of the proposed scheme. The hand tracking correct rate is 96% and the hand gestures average correct rate is 95%.

Corrosion Image Monitoring of steel plate by using k-means clustering (k-means 클러스터링을 이용한 강판의 부식 이미지 모니터링)

  • Kim, Beomsoo;Kwon, Jaesung;Choi, Sungwoong;Noh, Jungpil;Lee, Kyunghwang;Yang, Jeonghyeon
    • Journal of Surface Science and Engineering
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    • v.54 no.5
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    • pp.278-284
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    • 2021
  • Corrosion of steel plate is common phenomenon which results in the gradual destruction caused by a wide variety of environments. Corrosion monitoring is the tracking of the degradation progress for a long period of time. Corrosion on steel plate appears as a discoloration and any irregularities on the surface. In this study, we developed a quantitative evaluation method of the rust formed on steel plate by using k-means clustering from the corroded area in a given image. The k-means clustering for automated corrosion detection was based on the GrabCut segmentation and Gaussian mixture model(GMM). Image color of the corroded surface at cut-edge area was analyzed quantitatively based on HSV(Hue, Saturation, Value) color space.

Localization System for Mobile Robot Using Electric Compass and Tracking IR Light Source (전자 나침반과 적외선 광원 추적을 이용한 이동로봇용 위치 인식 시스템)

  • Son, Chang-Woo;Lee, Seung-Heui;Lee, Min-Cheol
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.8
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    • pp.767-773
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    • 2008
  • This paper presents a localization system based on the use of electric compass and tracking IR light source. Digital RGB(Red, Green, Blue)signal of digital CMOS Camera is sent to CPLD which converts the color image to binary image at 30 frames per second. CMOS camera has IR filter and UV filter in front of CMOS cell. The filters cut off above 720nm light source. Binary output data of CPLD is sent to DSP that rapidly tracks the IR light source by moving Camera tilt DC motor. At a robot toward north, electric compass signals and IR light source angles which are used for calculating the data of the location system. Because geomagnetic field is linear in local position, this location system is possible. Finally, it is shown that position error is within ${\pm}1.3cm$ in this system.

The Real-Time Face Detection and Tracking System based on Skin-Color (색상에 기반한 실시간 얼굴 검출 및 추적 시스템)

  • 임옥현;이우주;이배호
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10b
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    • pp.751-753
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    • 2004
  • 본 논문에서 색상을 기반으로 한 알고리즘으로 얼굴을 검출하고 검출된 얼굴을 움직이는 Pan-Tilt 카메라 상에서 추적하는 방법을 제안하고자 한다. 얼굴 검출 알고리즘은 얼굴색의 특징인 피부색상을 이용하여 후보영역을 검출하고 후보 영역에서 얼굴형태의 특징인 타원 형태를 이용하여 최종적으로 얼굴을 검출하였다. 얼굴 추적은 영상에서 검출된 얼굴의 크기 및 위치 정보와 Pan-Tilt 카메라의 위치정보를 이용하여 항상 얼굴이 카메라의 중심에 위치하도록 하였다. 우리는 실제 실험에서 초당 10프레임 이상의 실시간 얼굴 검출 및 추적에 성공하였다.

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An Intelligent Video Image Segmentation System using Watershed Algorithm (워터쉐드 알고리즘을 이용한 지능형 비디오 영상 분할 시스템)

  • Yang, Hwang-Kyu
    • The Journal of the Korea institute of electronic communication sciences
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    • v.5 no.3
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    • pp.309-314
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    • 2010
  • In this paper, an intelligent security camera over internet is proposed. Among ISC methods, watersheds based methods produce a good performance in segmentation accuracy. But traditional watershed transform has been suffered from over-segmentation due to small local minima included in gradient image that is input to the watershed transform. And a zone face candidates of detection using skin-color model. last step, face to check at face of candidate location using SVM method. It is extract of wavelet transform coefficient to the zone face candidated. Therefore, it is likely that it is applicable to read world problem, such as object tracking, surveillance, and human computer interface application etc.

Robust Object Detection Algorithm Using Spatial Gradient Information (SG 정보를 이용한 강인한 물체 추출 알고리즘)

  • Joo, Young-Hoon;Kim, Se-Jin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.3
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    • pp.422-428
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    • 2008
  • In this paper, we propose the robust object detection algorithm with spatial gradient information. To do this, first, we eliminate error values that appear due to complex environment and various illumination change by using prior methods based on hue and intensity from the input video and background. Visible shadows are eliminated from the foreground by using an RGB color model and a qualified RGB color model. And unnecessary values are eliminated by using the HSI color model. The background is removed completely from the foreground leaving a silhouette to be restored using spatial gradient and HSI color model. Finally, we validate the applicability of the proposed method using various indoor and outdoor conditions in a complex environments.

Tracking and Capturing a Moving Object Using Active Camera Mounted on a Mobile Robot (이동로봇에 장착된 능동 카메라를 이용한 이동물체의 추적과 포획)

  • Park, Jin-U;Park, Jae-Han;Yun, Gyeong-Sik;Lee, Jang-Myeong
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.9
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    • pp.741-748
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    • 2001
  • In this paper, we propose a method of tracking and capturing a moving object by a mobile robot. The position of the moving object is acquired from the relation through color-based image information from a 2-DOF active camera mounted on the mobile robot. The direction and rotational angular velocity of the moving object are estimated using a state estimator. A Kalman fiber is used as the state estimator for taking characteristics of robustness against noises and uncertainties included in the input data. After estimating the trajectory of the moving object, we decide on the optimal trajectory and plan the motion of the mobile robot to capture the target object within the shortest distance and time. The effectiveness of the proposed method is demonstrated by the simulations and experiments.

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Autofocus Tracking System Based on Digital Holographic Microscopy and Electrically Tunable Lens

  • Kim, Ju Wan;Lee, Byeong Ha
    • Current Optics and Photonics
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    • v.3 no.1
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    • pp.27-32
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    • 2019
  • We present an autofocus tracking system implemented by the digital refocusing of digital holographic microscopy (DHM) and the tunability of an electrically tunable lens (ETL). Once the defocusing distance of an image is calculated with the DHM, then the focal plane of the imaging system is optically tuned so that it always gives a well-focused image regardless of the object location. The accuracy of the focus is evaluated by calculating the contrast of refocused images. The DHM is performed in an off-axis holographic configuration, and the ETL performs the focal plane tuning. With this proposed system, we can easily track down the object drifting along the depth direction without using any physical scanning. In addition, the proposed system can simultaneously obtain the digital hologram and the optical image by using the RGB channels of a color camera. In our experiment, the digital hologram is obtained by using the red channel and the optical image is obtained by the blue channel of the same camera at the same time. This technique is expected to find a good application in the long-term imaging of various floating cells.