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조강현,공학양,Jo, Kang-Hyun,Gong, Hak-Yang The Korean Society for Integrative Biology 1998 Korean journal of biological sciences Vol.2 No.3
Litter decomposition is a key process in energy flow and nutrient cycling in the freshwater littoral zone, and is regulated by physicochemical properties of litters. Using a litterbag method, we compared the decomposition rates of 16 different litter types from 10 plant species of the emergent macrophytes for one year in the littoral zone of the Paltangho Reservoir, Korea. The regression analysis fitted to the various decomposition models showed that mass loss of the litters with time best fitted an asymptotic function. The litters of the emergent macrophytes were composed of two compartments, labile and refractory. The macrophytic litters showed a great variety in decomposition dynamics depending on sources of litters. The labile compartment of the initial litter mass was in a wide range between 18% and 99%, and their decomposition rates varied from 0.0037 to 0.0131 day-1. The decomposition processes of the emergent macrophytes were determined by the relative amounts of the labile and refractory compartments and by the decomposition rate of the habile one in the littoral zone.
색상 분포 및 인체의 상황정보를 활용한 다중카메라 기반의 사람 대응
채현욱(Hyun-Uk Chae),서동욱(Dong-Wook Seo),강석주(Suk-Ju Kang),조강현(Kang-Hyun Jo) 제어로봇시스템학회 2009 제어·로봇·시스템학회 논문지 Vol.15 No.9
In this paper, we proposed a method which corresponds people under the structured spaces with multiple cameras. The correspondence takes an important role for using multiple camera system. For solving this correspondence, the proposed method consists of three main steps. Firstly, moving objects are detected by background subtraction using a multiple background model. The temporal difference is simultaneously used to reduce a noise in the temporal change. When more than two people are detected, those detected regions are divided into each label to represent an individual person. Secondly, the detected region is segmented as features for correspondence by a criterion with the color distribution and context information of human body. The segmented region is represented as a set of blobs. Each blob is described as Gaussian probability distribution, i.e., a person model is generated from the blobs as a Gaussian Mixture Model (GMM). Finally, a GMM of each person from a camera is matched with the model of other people from different cameras by maximum likelihood. From those results, we identify a same person in different view. The experiment was performed according to three scenarios and verified the performance in qualitative and quantitative results.
강현덕(Hyun-Deok Kang),조강현(Kang-Hyun Jo) 전력전자학회 2005 전력전자학술대회 논문집 Vol.- No.-
본 논문에서는 전방향 등극기하를 이용하여 이동로봇의 효과적인 표식대응에 대하여 기술한다. 전방향 영상에서 등극점과 등극선의 특성에 따라 추출된 특징의 영상내 위치를 추정한다. 예측된 특징의 영상위치정보를 통해 효과적인 특징 대응을 하며 본 연구에서는 두영상에서 8개의 대응점을 이용하여 기초행렬 F를 구하고 이것으로 특징의 공간정보를 계산한다. 따라서 기초행렬 F에서 계산된 기본행렬 E로부터 로봇은 자신의 위치와 운동정보(회전,병진운동)를 알 수 있다. 또한 효과적인 특징대응을 위해 탐색범위를 축소함으로써 계산시간의단축과 강인한 특징대응을 제시하였다.
교통신호제어를 위한 HOG 기반 보행자 검출 및 행동패턴 인식
양성민(Sung-Min Yang),조강현(Kang-Hyun Jo) 제어로봇시스템학회 2013 제어·로봇·시스템학회 논문지 Vol.19 No.11
The traffic signal has been widely used in the transport system with a fixed time interval currently. This kind of setting time was determined based on experience for vehicles to generate a waiting time while allowing pedestrians crossing the street. However, this strict setting causes inefficient problems in terms of economic and safety crossing. In this research, we propose a monitoring algorithm to detect, track and check pedestrian crossing the crosswalk by the patterns of behavior. This monitoring system ensures the safety for pedestrian and keeps the traffic flow in efficient. In this algorithm, pedestrians are detected by using HOG feature which is robust to illumination changes in outdoor environment. According to a complex computation, the parallel process with the GPU as well as CPU is adopted for real-time processing. Therefore, pedestrians are tracked by the relationship of hue channel in image sequence according to the predefined pedestrian zone. Finally, the system checks the pedestrians’ crossing on the crosswalk by its HOG based behavior patterns. In experiments, the parallel processing by both GPU and CPU was performed so that the result reaches 16 FPS (Frame Per Second). The accuracy of detection and tracking was 93.7% and 91.2%, respectively.
카메라 외부변수구법을 통한 다중카메라의 3차원 위치 분석
서동욱(Dong-Wook Seo),조강현(Kang-hyun Jo) 한국정보과학회 2007 한국정보과학회 학술발표논문집 Vol.34 No.1C
본 논문에서는 다중카메라를 이용한 3차원 공간 구성에 대한 분석을 위해 실제 카메라의 3차원 위치를 분석하였다. 카메라의 3차원 위치 분석을 카메라 교정법을 이용하였으며 교정 결과 얻은 카메라의 외부변수를 역좌표변환하여 카메라의 3차원 위치를 얻었다. 다중카메라 교정을 위해서 10대의 카메라를 다섯 쌍의 스테레오 카메라로 묶어 교정을 하였다. 이러한 과정을 통해 얻은 카메라의 외부변수의 역좌표변환으로 실제 카메라의 위치를 계산하였고 이것의 정확한 3차원 위치정보를 얻기 위해 초기 교정에서 선택된 12개의 점을 기초로 하여 각 좌표의 8-방향의 좌표 결과를 얻게 된다. 이렇게 해서 얻은 좌표를 이용하여 카메라 교정 과정을 반복하였다. 그 결과 카메라의 정확한 3차원 위치를 얻었으며, 또한 마커 좌표의 변화가 카메라의 위치에 영향 정도를 분석하였다.