• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.661-664
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• 2009

Recently, intelligent surveillance camera systems are needed popularly. However, current researches are focussed on improvement of a single module rather than implementation of an integrated system. In this paper, we implemented a moving wireless surveillance camera system which is composed of face detection, and using motion sensor. In our implementation, we used a camera module from SHARP, a pair of wireless video transmission module from ECOM, body of moving robot used for A4WD1 Combo kit for RC, a pair of ZigBee RF wireless transmission module from ROBOBLOCK, and a motion sensor module (AMN14111) from PANASONIC. We used OpenCV library for face dection and MFC for implement software. We identified real-time operations of face detection, PTT control, and motion sensor detecton. Thus, the implemented system will be useful for the applications of remote control, human detection, and using motion sensor.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.6
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• pp.209-214
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• 2010

In this paper, We analyzes the image along the platform (Open Eye), through prevention of dementia or stroke patients and cognitive rehabilitation for the proposed system. This way through the camera image according to user's movement gained OpenCV image processing library, which is based on motion analysis, a part of this rehabilitation is to apply to cognitive rehabilitation. Therefore, this paper proposes a new image analysis system has been exposed to the elderly or stroke patients with dementia, their hand gestures through which patients can detect the image of the cognitive rehabilitation to help them in the analysis of the image analysis system is proposed.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.5
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• pp.666-671
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• 2008

In this paper, we propose a new method for tracking objects continously and successively based on fusion of region information, color information and motion template when multiple objects are occluded and splitted. For each frame, color template is updated and compared with the present object. The predicted region, dynamic template and color histogram are used to classify the objects. The vertical histogram of the silhouettes is analyzed to determine whether or not the foreground region contains multiple objects. The proposed method can recognize more correctly the objects to be tracked.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.04a
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• pp.418-421
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• 2004

생체 모방 공학이란 자연의 생명체가 보여 주는 행동이나 구조, 그들이 만들어 내는 물질등을 연구해 모방함으로써 인간 생활에 적용하려는 기술이다 본 논문은 이러한 모방 공학에서 비롯되어 생물학적 뱀이 가지고 있는 특징 중 자유로운 이동 모션이나 좁은 공간을 유연하게 통과하는 성질을 로봇에 응용한다. 연구 목표로서 먼저 뱀의 가장 큰 특징인 사인 파형의 이동모션 원리와 동작방법에 대해 설명하며 실험과 시뮬레이션을 통해 실천 가능성을 검증한다 또한 자율 이동시 센서를 이용 장애물을 회피하며 PDA를 제어기로 사용하여 Snake Robot를 제어한다.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.8
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• pp.536-546
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• 2006

Painterly animation is a method that expresses painterly images with a hand-painted appearance from a video, and the most crucial element for it is the temporal coherence of brush strokes between frames. A motion map is proposed in this paper as a solution to the issue of maintaining the temporal coherence in the brush strokes between the frames. A motion map is the region that frame-to-frame motions have occurred. Namely, this map refers to the region frame-to-frame edges move by the motion information with the motion occurred edges as a starting point. In this paper, we employ the optical flow method and block-based method to estimate the motion information. The method that yielded the biggest PSNR using the motion information (the directions and magnitudes) acquired by various methods of motion estimation has been chosen as the final motion information to form a motion map. The created motion map determine the part of the frame that should be re-painted. In order to express painterly images with a hand- painted appearance and maintain the temporal coherence of brush strokes, the motion information was applied to only the strong edges that determine the directions of the brush strokes. Also, this paper seek to reduce the flickering phenomenon between the frames by using the multiple exposure method and the difference map created by the difference between images of the source and the canvas. Maintenance of the coherence in the direction of the brush strokes was also attempted by a local gradient interpolation to maintain the structural coherence.

• The Journal of the Korea Contents Association
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• v.6 no.4
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• pp.98-108
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• 2006

In the past, the Image processing system is independently implemented and has a limit in its application to a degree of simple display. The scope of present image processing system is diversely extended in its application owing to the development of image processing IC chips. In this paper, we implement the image processing system operated independently without PC by converting analogue image signals into digital signals. In the proposed image processing system, we extract the motion parameters from analogue image signals and generate the virtual movement to Simulator and operate Simulator by extracting motion parameters.

• Journal of Broadcast Engineering
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• v.4 no.2
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• pp.187-196
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• 1999

This paper presents an efficient and automatic color and motion feature extraction algorithm for content-based MPEG-l video retrieval. Based on the proposed method. a video retrieval system is implemented. For color feature. the proposed algorithm considers dynamic color iRformation in video data, and thereby can overcome the limits of the previous key-frame based method. For motion feature, we utilize the motion vector in MPEG-l video with color information. and extract the color-motion feature. The proposed algorithm can solve the weakness of the previous location based motion feature method. Finally. the proposed method is evaluated within the implemented video retrieval system.

• Proceedings of the Korean Society of Computer Information Conference
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• 2009.01a
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• pp.219-222
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• 2009

최근 컴퓨터비젼 분야에서 이벤트 검출 및 인식이 활발히 연구되고 있으며, 도전적인 주제들 중 하나이다. 이벤트 검출 기술들은 많은 감시시스템들에서 유용하고 효율적인 응용 분야이다. 본 논문에서는 사무실 환경에서 발생할 수 있는 이벤트의 검출 및 인식을 위한 방법을 제안한다. 제안된 방법에서의 이벤트는 입장( entering), 퇴장(exiting), 착석(sitting-down), 기립(standing-up)으로 구성된다. 제안된 방법은 하드웨어적인 센서를 사용하지 않고, MHI(Motion History Image) 시퀀스(sequence)를 이용한 인간의 모션 분석을 통해 이벤트를 검출할 수 있는 방법이며, 사람의 체형과 착용한 옷의 종류와 색상, 그라고 카메라로부터의 위치관계에 불변한 특성을 가진다. 에지검출 기술을 HMI 시퀀스정보와 결합하여 사람 모션의 기하학적 특징을 추출한 후, 이 정보를 이벤트 인식의 기본 특징으로 사용한다. 제안된 방법은 단순한 이벤트 검출 프레임웍을 사용하기 때문에 검출하고자 하는 이벤트의 설명만을 첨가하는 것으로 확장이 가능하다. 또한, 제안된 방법은 컴퓨터비견 기술에 기반한 많은 감시시스템에 적용이 가능하다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.06a
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• pp.41-42
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• 2014

최근 우리나라에서는 새로운 항만설계 혹은 변경 등을 함에 있어 해상교통안전진단을 우선적으로 실시하여 해상교통의 안전을 도모하고 있다. 이 해상교통안전진단은 자연환경 및 해상교통조사, 선박조종시뮬레이션, 해상교통류 시뮬레이션, 계류안전성, 그리고 안전대책 등으로 구성되어 있다. 그 중 선박조종과 관련된 선박조종시뮬레이션이 아주 중요하다. 이것은 해당 항만에서 선박 조종을 담당하는 도선사 혹은 선장들에게 직접적인 관련이 있기 때문이다. 선박조종시뮬레이션에서 근접도 평가는 항로 혹은 접이안 조선의 안전도를 평가하는 중요한 요소이다. 그러나 근접도 평가는 시뮬레이션의 횟수를 얼마 이상으로 할 때 제대로 된 평가를 할 수 있는가 하는 점은 밝혀져 있지 않다. 중심극한정리에 따르면 30회 이상이면 표본 집단은 정규분포를

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.181-184
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• 2003

In the past, the image processing system is independently implemented and has a limit in its application to a degree of simple display. The scope of present image processing system is diversely extended in its application owing to the development of image processing It chips. In this paper, we implement the image processing system operated independently without PC by converting analogue image signals into digital signals. In the proposed image processing system, we extract the motion parameters from analogue image signals and generate the virtual movement to Simulator. Also we analysis the image control algorithm and operate Simulator by extracting motion parameters.