• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.3
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• pp.413-421
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• 2010

In the study, self-organization by color detection is proposed to overcome required constraints for existing self-organization by an external ceiling camera and communication. In the proposed self-organization, each swarm robot can follow its colleague robot and all swarm robots can follow a target by LOS(Line of Sight). The swarm robots follow the moving target by the proposed potential field, avoiding confliction with neighboring robots and obstacles. Finally, all swarm robots are reached by a sight among swarm robots. In this paper, for unicycle robots with non-holonomic constraints instead of point robot with holonomic constraints self-organization is presented, it enhances the possibility of H/W realization.

• Journal of the Korea Society of Computer and Information
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• v.19 no.11
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• pp.53-61
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• 2014

In this paper, we propose a method using an image received by the depth camera in order to separate the wall in a three-dimensional space indoor environment. Results of the paper may be used to provide valuable information on the three-dimensional space. For example, they may be used to recognize the indoor space, to detect adjacent objects, or to project a projector on the wall. The proposed method first detects a normal vector at each point by using the three dimensional coordinates of points. The normal vectors are then clustered into several groups according to similarity. The RANSAC algorithm is applied to separate out planes. The domain knowledge helps to determine the wall among planes in an indoor environment. This paper concludes with experimental results that show performance of the proposed method in various experimental environment.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.491-492
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• 2024

맞벌이 가정이 증가함에 따라 영유아, 장애인, 노인 등의 사회적 약자를 낮시간 동안 보육/보호하는 데이케어 센터의 수요가 증가하고 있다. 데이케어 센터는 센터 경쟁력 확보 및 보호자 만족도 제고를 위해서 피보호자의 일상 사진을 제공하는 곳이 대부분이다. 하지만 데이케어 센터의 직원이 다수의 사람에 대한 사진을 촬영 및 선별해서 메시지를 전송하는 일은 데이케어 센터 본연의 업무를 방해할 수 있다. 따라서 본 논문에서는 사진 선별을 업무 부담을 완화시키는데 도움을 줄 수 있는 얼굴 특징 기반 사진 자동분류하는 시스템을 개발한다. 제안한 방법에서는 얼굴 특징 추출 기법과 클러스터링 알고리즘인 DBSCAN을 이용하여 얼굴기준 사진 분류시스템을 설계하엿다. 특히, OpenCV와 face recognition 라이브러리를 이용하여 카메라로 촬영된 사진 속의 얼굴 객체를 인식하고 얼굴사진을 저정한 후 얼굴의 특징을 추출한다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.2 s.308
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• pp.19-29
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• 2006

As the security of personal information is becoming more important in mobile phones, we are starting to apply iris recognition technology to these devices. In conventional iris recognition, magnified iris images are required. For that, it has been necessary to use large magnified zoom & focus lens camera to capture images, but due to the requirement about low size and cost of mobile phones, the zoom & focus lens are difficult to be used. However, with rapid developments and multimedia convergence trends in mobile phones, more and more companies have built mega-pixel cameras into their mobile phones. These devices make it possible to capture a magnified iris image without zoom & focus lens. Although facial images are captured far away from the user using a mega-pixel camera, the captured iris region possesses sufficient pixel information for iris recognition. However, in this case, the eye region should be detected for accurate iris recognition in facial images. So, we propose a new fast iris detection method, which is appropriate for mobile phones based on corneal specular reflection. To detect specular reflection robustly, we propose the theoretical background of estimating the size and brightness of specular reflection based on eye, camera and illuminator models. In addition, we use the successive On/Off scheme of the illuminator to detect the optical/motion blurring and sunlight effect on input image. Experimental results show that total processing time(detecting iris region) is on average 65ms on a Samsung SCH-S2300 (with 150MHz ARM 9 CPU) mobile phone. The rate of correct iris detection is 99% (about indoor images) and 98.5% (about outdoor images).

• Journal of Digital Contents Society
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• v.13 no.3
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• pp.343-352
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• 2012

In this paper, we implemented a touchless interface for DID(Digital Information Display) system using gesture recognition technique which includes both hand motion and hand shape recognition. Especially this touchless interface without extra attachments gives user both easier usage and spatial convenience. For hand motion recognition, two hand-motion's parameters such as a slope and a velocity were measured as a direction-based recognition way. And extraction of hand area image utilizing YCbCr color model and several image processing methods were adopted to recognize a hand shape recognition. These recognition methods are combined to generate various commands, such as, next-page, previous-page, screen-up, screen-down and mouse -click in oder to control DID system. Finally, experimental results showed the performance of 93% command recognition rate which is enough to confirm the possible application to commercial products.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.2
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• pp.135-140
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• 2012

The mirror neuron system in the cerebrum, which are handled by visual information-based imitative learning. When we observe the observer's range of mirror neuron system, we can assume intention of performance through progress of neural activation as specific range, in include of partially hidden range. It is goal of our paper that imitative learning is applied to 3D vision-based intelligent system. We have experiment as stereo camera-based restoration about acquired 3D image our previous research Using Optical flow, unscented Kalman filter. At this point, 3D input image is sequential continuous image as including of partially hidden range. We used Hidden Markov Model to perform the intention recognition about performance as result of restoration-based hidden range. The dynamic inference function about sequential input data have compatible properties such as hand gesture recognition include of hidden range. In this paper, for proposed intention recognition, we already had a simulation about object outline and feature extraction in the previous research, we generated temporal continuous feature vector about feature extraction and when we apply to Hidden Markov Model, make a result of simulation about hand gesture classification according to intention pattern. We got the result of hand gesture classification as value of posterior probability, and proved the accuracy outstandingness through the result.

• Korean journal of communication and information
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• v.84
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• pp.124-151
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• 2017

This study examines photographers who experienced steep changes from film to digital photography working and photography culture after using digital camera through a phenomenological approach. Digital technologies have brought many transition. Most of all digital camera popularize photography among people who had no knowledge and experience about camera. On the contrary digital photography made many professional photographers difficulties. After being digital photography, most film companies and film developing and printing studios have diminished. In addition many professional photographers have to cover increasing working time by decreasing photography price. For this research researcher interviewed 12 professional photographers who is working as a digital photographer. After collecting data, researcher analyse data by phenomenological approach. This study is looking for a meaning of photographers' labor after digital photography times.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.10B
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• pp.1821-1831
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• 2000

In this paper we propose a new adaptive stereo object tracking system that can extract the object from the complex background and foreground noises by using the image-based SAD algorithm and control the convergence angle and pan/tilt of cameras by using optical BPEJTC. From the experimental results the proposed stereo tracking system is found to track the object adpatively under the circumstance of complex and changing background noises and the possibility of real-time implementation of the proposed system by using the optical system is also suggested.

• Annual Conference of KIPS
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• 2017.11a
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• pp.895-898
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• 2017

동영상 플랫폼 확산에 따라 영상 콘텐츠 수요와 공급이 폭발적으로 성장하여 영상 콘텐츠 확산에 큰 영향을 미치고 있다. 이와 같은 콘텐츠 확산으로 인해 전문가의 영역에 해당하는 영상 제작 기술이 일반적인 기술의 범주로 인식될 만큼 영상 처리 및 제작에 대한 기술의 발전이 나날이 급증하고 있으며 이러한 기술의 발전에 따라 사람의 수작업을 통해서만 영상을 조절하던 과정 또한 객체 추적 기술을 활용함에 따라 자동화 과정이 가능하게 되었다. 본 연구에서는 객체 추적 알고리즘 중 특징 점을 키포인트로 나눠 객체를 추적하는 OpenCV 기반 CMT 알고리즘으로 라즈베리파이를 활용하여 객체를 추적하는 기법을 소개한다. 본 시스템은 방송용 카메라의 객체 추적에 잘 활용될 수 있다.

• Proceedings of the KIPE Conference
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• 2005.07a
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• pp.598-600
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• 2005

본 논문은 무선 LAN기반에서의 이동로봇에 Manipulator를 장착하고 안정된 원격 제어를 수행하였다. 원격제어는 웹 카메라 및 레이져 센서를 통해 이동로봇 주변 환경을 인식할 수 있으며, 조이스틱을 이용하여 이동로봇 및 Manipulator를 제어한다. 무선 랜 기반 원격제어 시스템은 환경조건에 따라 통신지연이 불규칙하고 통신두절의 발생가능성이 매우 높다. 본 논문은 이러한 문제점이 발생할 경우 문제점을 해결하기 위하여 실시간 화상 전송에 대해 이론적이고 체제적 분석을 실시함으로써 보다 안정된 효과를 얻는다. 그리고 조작자가 이동로봇을 좀 더 안정적이고 쉽게 조작 할 수 있도록 하기 위해 힘 반영 조이스틱에 이동 로봇 주위의 장애물 정보를 반영하였다. 또한 Manipulator의 원격조정 알고리즘을 개발하여 보다 안정되게 물체를 파지 및 이동시킬 수 있다.