• Title, Summary, Keyword: hand tracking

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Dynamic Bayesian Network based Two-Hand Gesture Recognition (동적 베이스망 기반의 양손 제스처 인식)

  • Suk, Heung-Il;Sin, Bong-Kee
    • Journal of KIISE:Software and Applications
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    • v.35 no.4
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    • pp.265-279
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    • 2008
  • The idea of using hand gestures for human-computer interaction is not new and has been studied intensively during the last dorado with a significant amount of qualitative progress that, however, has been short of our expectations. This paper describes a dynamic Bayesian network or DBN based approach to both two-hand gestures and one-hand gestures. Unlike wired glove-based approaches, the success of camera-based methods depends greatly on the image processing and feature extraction results. So the proposed method of DBN-based inference is preceded by fail-safe steps of skin extraction and modeling, and motion tracking. Then a new gesture recognition model for a set of both one-hand and two-hand gestures is proposed based on the dynamic Bayesian network framework which makes it easy to represent the relationship among features and incorporate new information to a model. In an experiment with ten isolated gestures, we obtained the recognition rate upwards of 99.59% with cross validation. The proposed model and the related approach are believed to have a strong potential for successful applications to other related problems such as sign languages.

Hand Gesture Recognition Algorithm Robust to Complex Image (복잡한 영상에 강인한 손동작 인식 방법)

  • Park, Sang-Yun;Lee, Eung-Joo
    • Journal of Korea Multimedia Society
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    • v.13 no.7
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    • pp.1000-1015
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    • 2010
  • In this paper, we propose a novel algorithm for hand gesture recognition. The hand detection method is based on human skin color, and we use the boundary energy information to locate the hand region accurately, then the moment method will be employed to locate the hand palm center. Hand gesture recognition can be separated into 2 step: firstly, the hand posture recognition: we employ the parallel NNs to deal with problem of hand posture recognition, pattern of a hand posture can be extracted by utilize the fitting ellipses method, which separates the detected hand region by 12 ellipses and calculates the white pixels rate in ellipse line. the pattern will be input to the NNs with 12 input nodes, the NNs contains 4 output nodes, each output node out a value within 0~1, the posture is then represented by composed of the 4 output codes. Secondly, the hand gesture tracking and recognition: we employed the Kalman filter to predict the position information of gesture to create the position sequence, distance relationship between positions will be used to confirm the gesture. The simulation have been performed on Windows XP to evaluate the efficiency of the algorithm, for recognizing the hand posture, we used 300 training images to train the recognizing machine and used 200 images to test the machine, the correct number is up to 194. And for testing the hand tracking recognition part, we make 1200 times gesture (each gesture 400 times), the total correct number is 1002 times. These results shows that the proposed gesture recognition algorithm can achieve an endurable job for detecting the hand and its' gesture.

Hand gesture recognition for player control

  • Shi, Lan Yan;Kim, Jin-Gyu;Yeom, Dong-Hae;Joo, Young-Hoon
    • Proceedings of the KIEE Conference
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    • pp.1908-1909
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    • 2011
  • Hand gesture recognition has been widely used in virtual reality and HCI (Human-Computer-Interaction) system, which is challenging and interesting subject in the vision based area. The existing approaches for vision-driven interactive user interfaces resort to technologies such as head tracking, face and facial expression recognition, eye tracking and gesture recognition. The purpose of this paper is to combine the finite state machine (FSM) and the gesture recognition method, in other to control Windows Media Player, such as: play/pause, next, pervious, and volume up/down.

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A Study on the Tracking Failure of MPPT Control in PV Generation System (태양광 발전시스템의 MPPT제어의 최대전력추종 실패에 관한 연구)

  • Kim, Bong-Tae;Lee, Jae-Deuk;Park, Min-Won;Yu, In-Keun
    • Proceedings of the KIEE Conference
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    • pp.1290-1292
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    • 2001
  • Photovoltaic(PV) power generation system has been extensively studied and watched with keen interest as a clean and renewable power source. On the other hand, because the output power of solar cell is not only unstable but uncontrollable, the maximum power point tracking(MPPT) control is still hot issue with the tracking failure left unsolved under the sudden fluctuation of irradiance. Hence, in this paper, we introduce the mechanism of the tracking failure under the fluctuation of irradiance, and show the simulation results using SPRW(simulation method for PV power generation system using real weather conditions).

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A Study on Thermegravimetry and Tracking Resistance of PVC Doped with $A\;\ell\;(OH)_3$ ($A\;\ell\;(OH)_3$를 첨가(添加)한 PVC의 내(耐)Tracking성(性)과 열분석(熱分析)에 관한 연구(硏究))

  • Kang, Sung-Hwa;Lim, Kee-Joe;Shin, Yong-Deok;Park, Dae-Hee
    • Proceedings of the KIEE Conference
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    • pp.389-391
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    • 1995
  • Using as an alternate of insulating material for outdoor and cable, however, it has still many problems to be solved in the field of material such as resistances of environment and tracking. In this paper, Tracking property of PVC filled with aluminum hydroxide have been investigated by ASTM D 2303 method. It was found that time to track of PVC filled aluminum hydroxide was longer than that of unfilled PVC. Tensile strength and elongation of PVC were decreases increased with aluminum hydroxide contents. On the other hand, Thermegravimetry of PVC decreased. Therefore, the increase of time to tracking breakdown by antitracking additive can be explained by increased degradation temperature of polymer.

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The Implementation of the Realtime Visual Tracking of Moving Terget by using Kalman Filter (칼만필터를 이용한 이동 목표물의 실시간 시각추적의 구현)

  • 임양남;방두열;이성철
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • pp.254-258
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    • 1996
  • In this paper, we proposed realtime visual tracking system of moving object for 2D target using extended Kalman Filter Algorithm. A targeting marker are recongnized in each image frame and positions of targer object in each frame from a CCD camera while te targeting marker is attached to the tip of the SCARA robot hand. After the detection of a target coming into any position of the field-of-view, the target is tracked and always made to be located at the center of target window. Then, we can track the moving object which moved in inter-frames. The experimental results show the effectiveness of the Kalman filter algorithm for realtime tracking and estimated state value of filter, predicting the position of moving object to minimize an image processing area, and by reducing the effect by quantization noise of image

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A hierachical control structure of a robot manipulator for conveyor tracking (컨베이어 추적을 위한 로보트 매니퓰레이터의 계층적 제어구조)

  • 박태형;이영대;이범희;고명삼
    • 제어로봇시스템학회:학술대회논문집
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    • pp.1046-1051
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    • 1991
  • For the conveyor tracking application of a robot manipulator, a new control scheme is presented. The presented scheme is divided into two stages : the upper one is the motion planning stage and the lower one is the motion control stage. In the upper stage, the nominal trajectory which tracks the part moving in a constant velocity, is planned considering the robot arm dynamics. On the other hand, in the lower level, the perturbed trajectory is generated to track the variation in the velocity of conveyor belt via sensory feedback and the perturbed arm dynamics. In both stages, the conveyor tracking problem is formulated as an optimal tracking problem, and the torque constraints of a robot manipulator are taken into account. Simulation results are then presented and discussed.

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Control of Robot Manipulators Using LQG Visual Tracking Cotroller (LQG 시각추종제어기를 이용한 로봇매니퓰레이터의 제어)

  • Lim, Tai-Hun;Jun, Hyang-Sig;Choi, Young-Kiu;Kim, Sung-Shin
    • Proceedings of the KIEE Conference
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    • pp.2995-2997
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    • 1999
  • Recently, real-time visual tracking control for a robot manipulator is performed by using a vision feedback sensor information. In this paper, the optical flow is computed based on the eye-in-hand robot configuration. The image jacobian is employed to calculate the rotation and translation velocity of a 3D moving object. LQG visual controller generates the real-time visual trajectory. In order to improving the visual tracking performance. VSC controller is employed to control the robot manipulator. Simulation results show a better visual tracking performance than other method.

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Template Based Object Detection & Tracking by Chamfer Matching in Real Time Video (Chamfer Matching을 이용한 실시간 템플릿 기반 개체 검출 및 추적)

  • Islam, Md. Zahidul;Setiawan, Nurul Arif;Kim, Hyung-Kwan;Lee, Chil-Woo
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.92-94
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    • 2008
  • In this paper we describe an approach for template based detection and tracking of objects by chamfer matching in real time video. Detecting and tracking of any objects is the key problem in computer vision. In our case we try for hand and head of human for detection and tracking by chamfer matching technique. Matching involves correlating the templates with the distance transformed scene and determining the locations where the mismatch is below a certain user defined threshold.

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Development and Application of Automatic Rainfall Field Tracking Methods for Depth-Area-Duration Analysis (DAD 분석을 위한 자동 강우장 탐색기법의 개발 및 적용)

  • Kim, Yeon Su;Song, Mi Yeon;Lee, Gi Ha;Jung, Kwan Sue
    • Journal of Korea Water Resources Association
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    • v.47 no.4
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    • pp.357-370
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    • 2014
  • This study aims to develop a rainfall field tracking method for depth-area-duration (DAD) analysis and assess whether the proposed tracking methods are able to properly estimate the maximum average areal rainfall (MAAR) within the study area during a rainfall period. We proposed three different rainfall field tracking algorithms (Box-tracking, Point-tracking, Advanced point-tracking) and then applied them to the virtual rainfall field with 1hr duration and also compared DAD curves of each method. In addition, we applied the three tracking methods and a traditional GIS-based tool to the typhoon 'Nari' rainfall event of the Yongdam-Dam watershed and then assess applicability of the proposed methods for DAD analysis. The results showed that Box-tracking was much faster than the other two tracking methods in terms of searching for the MAAR but it was impossible to describe rainfall spatial pattern during its tracking processes. On the other hand, both Point-tracking and Advanced point-tracking provided the MAAR by considering the spatial distribution of rainfall fields. In particular, Advanced point-tracking estimated the MAAR more accurately than Point-tracking in the virtual rainfall field, which has two rainfall centers with similar depths. The proposed automatic rainfall field tracking methods can be used as effective tools to analyze DAD relationship and also calculate areal reduction factor.