• 전자공학회논문지 IE
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• 제47권3호
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• pp.1-6
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• 2010

본 논문에서는 문자나 그래픽 같은 매우 간단한 메시지만을 표출하고 있는 소형 LED 전광판에서도 동영상이 표출될 수 있도록 임베디드 시스템을 이용한 프로세서를 설계하였다. 구현 방법으로는 임베디드 시스템에서 출력되는 24Bit의 디지털 동영상을 표출할 수 있도록 하기위하여 비디오 프로세서와 LED Display Panel을 설계한 동영상 LED 전광판을 제작하였다. 감마 보정, 밝기, 색 대비조정, 스케줄 기능, 인터넷에 의한 표출영상 변환 및 저장장치를 내장하였으며, 그래픽, 동영상 등을 소형LED 전광판에서 표출할 수 있도록 Windows CE 기반의 응용 프로그램을 설계하였다.

• 한국수산과학회지
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• 제51권1호
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• pp.91-94
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• 2018

We develop a time-temperature indicator (TTI) that can determine whether thawing of fish and other fishery products has occurred during frozen storage. A polypropylene tube with an internal diameter of 3 mm was prepared and cut to a length of 14 to 20 mm. One end of the tube was thermally sealed and 0.1% acetic acid was injected into the other end; the tube was then frozen at $20^{\circ}C$. Then the open side of the frozen tube was blocked by sinking the tube into a 10% gelatin solution. The tube was attached to a polyvinyl packaging bag along blue litmus paper and the bag was put into a freezer at $-20^{\circ}C$. After freezing, the bag was removed to an ambient temperature of $20^{\circ}C$, and the time dependence of the color change of the litmus paper was observed. The color changed from blue to red, with the length of the red region increasing with time. Our TTI can be used as a part of a visible detection system and the detection program can conduct the elapsed time analysis on the length of the red region of the litmus paper indicating the degree of thawing. Thus, the TTI is a useful tool in the temperature management of frozen fish and fishery products.

• 한국항공우주학회지
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• 제34권7호
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• pp.63-70
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• 2006

본 논문은 영상기반 헤드 트랙커에 인공 표식의 면적을 이용하는 연구를 기술하였다. 헤드 트랙커 체계는 병진운동과 회전운동으로 구성되어 있으며, 이들은 웹 카메라에 의하여 감지되었다. 감지된 영상은 영상처리 기법과 인공 신경망에 의하여 운동에 따른 결과를 만들게 된다. 헤드 트랙커가 사용될 항공기의 조종석의 특성상 병진운동은 헬멧의 특정 색을 추적하게 하였다. 회전 운동은 인공 신경망을 이용하여 추적하였으며, 헬멧에 표시된 두 가지 색의 면적 비율을 입력 값으로 사용하였다. 여기서 역전파 알고리즘과 RBFN을 사용하였다. 두 알고리즘은 머리의 움직임과 같은 비선형 체계를 분류하고 추적하는데 용이한 알고리즘으로 역전파 알고리즘은 피드백 특성을, RBFN은 확률적 특성을 이용한다. 본 논문에서는 회전운동에 어느 알고리즘이 더 적합한 알고리즘인지 비교하였다.

• 제어로봇시스템학회논문지
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• 제19권11호
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• pp.1029-1035
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• 2013

This paper proposes a real time lane detection algorithm using LRF (Laser Range Finder) for autonomous navigation of a mobile robot. There are many technologies for safety of the vehicles such as airbags, ABS, EPS etc. The real time lane detection is a fundamental requirement for an automobile system that utilizes outside information of automobiles. Representative methods of lane recognition are vision-based and LRF-based systems. By the vision-based system, recognition of environment for three dimensional space becomes excellent only in good conditions for capturing images. However there are so many unexpected barriers such as bad illumination, occlusions, and vibrations that the vision cannot be used for satisfying the fundamental requirement. In this paper, we introduce a three dimensional lane detection algorithm using LRF, which is very robust against the illumination. For the three dimensional lane detections, the laser reflection difference between the asphalt and lane according to the color and distance has been utilized with the extraction of feature points. Also a stable tracking algorithm is introduced empirically in this research. The performance of the proposed algorithm of lane detection and tracking has been verified through the real experiments.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 D
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• pp.3037-3040
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• 2000

Real-Time object tracking has emerged as an important component in several application areas including machine vision. surveillance. Human-Computer Interaction. image-based control. and so on. And there has been developed various algorithms for a long time. But in many cases. they have showed limited results under uncontrolled situation such as illumination changes or cluttered background. In this paper. we present a novel. computationally efficient algorithm for tracking human face robustly under illumination changes and cluttered backgrounds. Previous algorithms usually defines color model as a 2D membership function in a color space without consideration for illumination changes. Our new algorithm developed here. however. constructs a 3D color model by analysing plenty of images acquired under various illumination conditions. The algorithm described is applied to a mobile head-eye robot and experimented under various uncontrolled environments. It can track an human face more than 100 frames per second excluding image acquisition time.

• 한국정보통신학회논문지
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• 제15권7호
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• pp.1564-1572
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• 2011

본 논문에서는 증강현실을 위한 히스토그램 기반의 손 인식 기법을 제안한다. 손동작 인식은 사용자와 컴퓨터 사이의 친숙한 상호작용을 가능하게 한다. 하지만, 비젼 기반의 손동작 인식은 복잡한 손의 형태로 인한 관찰 방향 변화에 따른 입력 영상의 다양함으로 인식에 어려움이 따른다. 따라서 본 논문에서는 손의 형태적인 특징을 이용한 새로운 모델을 제안한다. 제안하는 기법에서 손 인식은 카메라로부터 획득한 영상에서 손 영역을 분리하는 부분과 인식하는 부분으로 구성된다. 카메라로부터 획득한 영상에서 배정을 제거하고 피부색 정보를 이용하여 손 영역을 분리한다. 다음으로 히스토그램을 이용하여 손의 특징점을 구하여 손의 형태를 계산한다. 마지막으로 판별된 손인식 정보를 이용하여 3차원 객체를 제어하는 증강현실 시스템을 구현하였다. 실험을 통해 제안한 기법의 구현 속도가 빠르고 인식률도 91.7%로 비교적 높음을 확인하였다.

• 한국정보처리학회논문지
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• 제7권9호
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• pp.3037-3047
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• 2000

본 논문에서는 커러영상처리로 차량 후면에 위치하고 붉은색을 띄는 미등과 브레이크등을 이용하여 저속주행환경에서 근거리 전방차량을 추적하는 방법에 대해 설명한다. HSV 컬러모델로 변환된 컬러영상에서 미등과 브레이크등의 컬러특징을 이용하여 후보영역을 분할한 후, 미등과 브레이크등 패턴의 기하학적 특징과 위치적 특징을 이용하여 한 쌍의 미등 혹은 브레이크등을 탐지한다. 탐지된 등의 위치를 이용하여 전방차량의 위치를 측정하고 연속적으로 추적한다. 또한, 등 영역내의 HSV 컬러요소 변화를 측정하여 전방차량의 브레이크 사용여부를 판단한다. 도심지의 도로영상을 이용한 실험에서 성공적으로 근거리 전방차량을 추적할 수 있었으며, 주간보다 야간에서 효과적으로 적용될 수 있었다. 또한 본 알고리즘이 구현된 컬러비전시스템을 무인자동차 KAV-III(Korea Autonomous Vehicle-III)에 탑재하여 야간에 자동으로 전방차량을 15km/h의 속도로 따라갈 수 있는 결과를 얻었다. 이 방법은 도심지에서 가다서다를 반복하는 저속주행환경에서 차량 스스로 운전하여 운전자의 부담을 줄일 수 있는 LSA(Low Speed Automation)시스템 개발에 적용될 수 있을 것이다.

• International Journal of Contents
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• 제9권4호
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• pp.16-21
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• 2013

Vision system is an indispensable part of constructing the chess-playing robot. Chessboard detection and pieces localization in the captured image of robot's camera are important steps for processes followed such as pieces recognition, move calculation, and robot controlling. We present a method for detecting the Janggi chessboard and pieces based on the edge and color feature. Hough transform combined with line extraction is used for segmenting the chessboard and warping it to form the rectangle shape in order to detect and interpolate the lines of chessboard. Then we detect the existence of pieces and their side by applying the saliency map and checking the color distribution at piece locations. While other methods either work only with the empty chessboard or do not care about the piece existence, our method could detect sufficiently side and position of pieces as well as lines of the chessboard even if the occlusion happens.

• 로봇학회논문지
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• 제2권1호
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• pp.21-28
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• 2007

The Intelligent Space(ISpace) provides challenging research fields for surveillance, human-computer interfacing, networked camera conferencing, industrial monitoring or service and training applications. ISpace is the space where many intelligent devices, such as computers and sensors, are distributed. According to the cooperation of many intelligent devices, the environment, it is very important that the system knows the location information to offer the useful services. In order to achieve these goals, we present a method for representing, tracking and human following by fusing distributed multiple vision systems in ISpace, with application to pedestrian tracking in a crowd. And the article presents the integration of color distributions into particle filtering. Particle filters provide a robust tracking framework under ambiguity conditions. We propose to track the moving objects by generating hypotheses not in the image plan but on the top-view reconstruction of the scene. Comparative results on real video sequences show the advantage of our method for multi-object tracking. Also, the method is applied to the intelligent environment and its performance is verified by the experiments.

• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.288-296
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• 2021

Automated face recognition in a runtime environment is gaining more and more important in the fields of surveillance and urban security. This is a difficult task keeping in mind the constantly volatile image landscape with varying features and attributes. For a system to be beneficial in industrial settings, it is pertinent that its efficiency isn't compromised when running on roads, intersections, and busy streets. However, recognition in such uncontrolled circumstances is a major problem in real-life applications. In this paper, the main problem of face recognition in which full face is not visible (Occlusion). This is a common occurrence as any person can change his features by wearing a scarf, sunglass or by merely growing a mustache or beard. Such types of discrepancies in facial appearance are frequently stumbled upon in an uncontrolled circumstance and possibly will be a reason to the security systems which are based upon face recognition. These types of variations are very common in a real-life environment. It has been analyzed that it has been studied less in literature but now researchers have a major focus on this type of variation. Existing state-of-the-art techniques suffer from several limitations. Most significant amongst them are low level of usability and poor response time in case of any calamity. In this paper, an improved face recognition system is developed to solve the problem of occlusion known as FRS-OCC. To build the FRS-OCC system, the color and texture features are used and then an incremental learning algorithm (Learn++) to select more informative features. Afterward, the trained stack-based autoencoder (SAE) deep learning algorithm is used to recognize a human face. Overall, the FRS-OCC system is used to introduce such algorithms which enhance the response time to guarantee a benchmark quality of service in any situation. To test and evaluate the performance of the proposed FRS-OCC system, the AR face dataset is utilized. On average, the FRS-OCC system is outperformed and achieved SE of 98.82%, SP of 98.49%, AC of 98.76% and AUC of 0.9995 compared to other state-of-the-art methods. The obtained results indicate that the FRS-OCC system can be used in any surveillance application.