Gesture Extraction for Ubiquitous Robot-Human Interaction

Kim, Moon-Hwan; Joo, Young-Hoon; Park, Jin-Bae

doi:10.5302/j.icros.2005.11.12.1062

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…현재, 연속된 두 개의 영상 차이를 이용 하는 움직임 영역 추출 기술은 많은 연구가 진행된 바 있으며 고정된 환경에서 Haritaoglu 등은 입력된 영상의 컬러의 픽셀 (pixel) 변화를 학습하여 배경을 모델링하는 방법을 제안하였고 [4], Barnich 등은 배경의 차를 이용하여 이동물체를 검출하는 방법을 제안하였다 [5]. 상기와 같은 방법들은 배경 모델링 이후 매우 빠른 속도로 움직임 이동물체를 추출 할 수 있는 장점을 갖고 있지만, 조도 변화나, 잡음 등에 민감한 특성을 갖고 있다 [20][21][22][23][24].…”

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Detection using Optical Flow and EMD Algorithm and Tracking using Kalman Filter of Moving Objects

Lee¹,

Joo²

2015

The Transactions of The Korean Institute of Electrical Engineer

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-We proposes a method for improving the identification and tracking of the moving objects in intelligent video surveillance system. The proposed method consists of 3 parts: object detection, object recognition, and object tracking. First of all, we use a GMM(Gaussian Mixture Model) to eliminate the background, and extract the moving object. Next, we propose a labeling technique forrecognition of the moving object. and the method for identifying the recognized object by using the optical flow and EMD algorithm. Lastly, we proposes method to track the location of the identified moving object regions by using location information of moving objects and Kalman filter. Finally, we demonstrate the feasibility and applicability of the proposed algorithms through some experiments.

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Detection using Optical Flow and EMD Algorithm and Tracking using Kalman Filter of Moving Objects

Lee¹,

Joo²

2015

The Transactions of The Korean Institute of Electrical Engineer

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Intelligent unmanned anti-theft system using network camera

Kim

Yeom

Joo

et al. 2010

Int. J. Control Autom. Syst.

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In this paper, we propose the intelligent unmanned anti-theft system using network cameras. To do this, we use two Internet Protocol (IP) cameras, which are installed at the inside and the outside of the restricted area. First of all, the external camera is used to monitor a potential intruder entering the restricted area in real time. To detect the potential intruder from sequential images obtained by external IP camera, we propose the robust algorithm combining the background modeling, the hybrid silhouette, the convex summation, the morphology and the smoothing. Once the intruder is detected by the external camera, the internal camera with pan-tilt mechanism is then activated and starts tracking the intruder and monitoring the prescribed valuables registered with some feature points in the database. To track the intruder, we propose the tracking algorithm using the background elimination and the histogram. And then, we completes the proposed anti-theft system by using the Scale Invariant Feature Transform (SIFT) algorithm in order to monitor whether the intruder steals the prescribed valuables or not. Finally, we have shown the effectiveness and the applicability of the proposed method through experiments.

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Visual Touch Recognition for NUI Using Voronoi-Tessellation Algorithm

Kim¹,

Joo²

2015

The Transactions of The Korean Institute of Electrical Engineer

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-This paper presents a visual touch recognition for NUI(Natural User Interface) using Voronoi-tessellation algorithm. The proposed algorithms are three parts as follows: hand region extraction, hand feature point extraction, visual-touch recognition. To improve the robustness of hand region extraction, we propose RGB/HSI color model, Canny edge detection algorithm, and use of spatial frequency information. In addition, to improve the accuracy of the recognition of hand feature point extraction, we propose the use of Douglas Peucker algorithm, Also, to recognize the visual touch, we propose the use of the Voronoi-tessellation algorithm. Finally, we demonstrate the feasibility and applicability of the proposed algorithms through some experiments.

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Gesture Extraction for Ubiquitous Robot-Human Interaction

Cited by 3 publications

References 6 publications

Detection using Optical Flow and EMD Algorithm and Tracking using Kalman Filter of Moving Objects

Detection using Optical Flow and EMD Algorithm and Tracking using Kalman Filter of Moving Objects

Intelligent unmanned anti-theft system using network camera

Visual Touch Recognition for NUI Using Voronoi-Tessellation Algorithm

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