• 한국축산식품학회지
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• 제34권3호
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• pp.273-279
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• 2014

The objective of this study was to investigate the effects of the packaging method on the lipid and protein oxidation, and color in aged top round from Hanwoo (Korean native cattle) for 14 d at $4^{\circ}C$. Catalase activity was the highest (p<0.05) in vacuum packaging (VP) treatment during storage, and was higher (p<0.05) in 50% Ox-MAP and 50% Ox-MAP+vacuum skin packaging (VSP) treatments than in other treatments at d 14. Superoxide dismutase activity was higher (p<0.05) in VP, 50% Ox-MAP, and 50% Ox-MAP+VSP treatments than in other treatments at d 14. During storage, total antioxidant activity was the highest (p<0.05) in VP treatment and was higher (p<0.05) in 50% Ox-MAP+VSP treatment than in 80% Ox-MAP treatment. TBARS value was the lowest (p<0.05) in VP treatment during storage and was lower (p<0.05) in 50% Ox-MAP and Ox-MAP+VSP treatments than in 80% Ox-MAP and Ox-MAP treatments, respectively. Carbonyl content was the lowest (p<0.05) in VP treatment from 10 d. From 7 d, the $a^*$ value was the highest (p<0.05) in VP treatment and was higher (p<0.05) in 50% Ox-MAP and 50% Ox-MAP+VSP treatments than in other treatments. The $b^*$ value was the highest (p<0.05) in VP treatment from 3 d, and was higher (p<0.05) in 80% Ox-MAP+VSP, 50% Ox-MAP, and 50% Ox-MAP+ VSP treatments than in 80% Ox-MAP treatment at d 14. Therefore, VP improved the oxidation and red color stabilities in stored-aged top round compared with Ox-MAP. In addition, 50% Ox-MAP improved the lipid oxidation and red color stabilities compared with 80% Ox-MAP, and its inhibitory effect on lipid oxidation was enhanced by combination with VSP.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권5호
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• pp.1856-1869
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• 2015

This paper addresses the issues of 3D human activity detection, tracking and recognition from RGB-D video sequences using a feature structured framework. During human tracking and activity recognition, initially, dense depth images are captured using depth camera. In order to track human silhouettes, we considered spatial/temporal continuity, constraints of human motion information and compute centroids of each activity based on chain coding mechanism and centroids point extraction. In body skin joints features, we estimate human body skin color to identify human body parts (i.e., head, hands, and feet) likely to extract joint points information. These joints points are further processed as feature extraction process including distance position features and centroid distance features. Lastly, self-organized maps are used to recognize different activities. Experimental results demonstrate that the proposed method is reliable and efficient in recognizing human poses at different realistic scenes. The proposed system should be applicable to different consumer application systems such as healthcare system, video surveillance system and indoor monitoring systems which track and recognize different activities of multiple users.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2008년도 제39차 동계학술발표논문집 16권2호
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• pp.173-176
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• 2009

본 논문에서는 피부색 정보와 눈, 입의 위치를 찾아 실시간으로 얼굴을 인식하는 랩을 제안한다. 먼저 노이즈를 제거하여 얼굴 후보 영역을 지정한다. 지정된 얼굴 후보 영역에서 눈과 입을 찾고, 찾은 눈과 입 사이의 영역에서 에지를 탐색하여 코의 존재 유무를 검증하고 이를 바탕으로 얼굴인지 판단하는 절차를 따른다. 제안한 기법은 피부색 검출을 위해 YCbCr 을 이용하여 피부 영역을 찾고 지정한 피부 영역에서 노이즈를 제거한 후, Eye Map의 EyeMapC 연산을 통해 눈을 Lip Map을 통해 입을 찾는다. 찾아낸 눈과 입의 사이의 영역에서 Canny Edge 연산을 수행하여 코의 존재 유무를 판단하여 최종적인 얼굴 영역을 판별하는 방법을 제안한다.

• 대한의용생체공학회:의공학회지
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• 제28권3호
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• pp.392-396
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• 2007

In this paper, we develop a new system to visualize the blood flow map in skin tissue, using the technique of Laser Speckle Flowgraphy (LSFG). The measuring unit consists of the laser diode, imaging system, line sensor, scanning mirror, and one-board microcomputer. The speckle signal is analyzed and sent to a PC, where the blood flow in a tissue area of $14mm{\times}26 mm$ is evaluated and displayed in a 2-D color map. It is demonstrated that the new LSFG instrument is useful to evaluate the degree of allergic reaction in patch test.

• 융합신호처리학회논문지
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• 제6권1호
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• pp.15-22
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• 2005

본 논문은 CCD 칼라 영상을 이용하여 얼굴을 인식할 수 있는 방법을 제안한다. YCbCr 컬러모델에서 피부색에 대한 색상 정보와 적응적인 피부범위 확장을 통하여 얼굴후보영역을 추출하였다. 추출된 얼굴후보영역을 이용하여 곡선전개 방식의 초기곡선으로 사용하여 얼굴영역을 정확히 추출하였다. 얼굴의 특징점을 추출하기 위하여 얼굴영역에서 칼라정보를 이용한 Eye Map과 Mouth Map을 이용하였다. Log-polar변환의 중심점을 얻기 위하여 검출된 얼굴의 특징점을 이용하였다. 특징벡터를 추출하기 위하여 DCT, 웨이브렛 변환을 통하여 추출한 계수들을 이용하였다. 제안된 방법의 타당성을 검토하기 위하여 BP 학습알고리즘을 사용하는 신경망에서 얼굴인식을 수행하였다. 실험결과, 제안한 방법이 입력영상의 회전, 크기변화에 대하여 기존의 방법에 비하여 강인한 인식결과를 얻을 수 있었다.

• 산업기술연구
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• 제28권B호
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• pp.143-148
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• 2008

A real-time face detection is to find human faces robustly under the cluttered background free from the effect of occlusion by other objects or various lightening conditions. We propose a face detection system for real-time applications using wavelet decomposition method based on Gabor features. Firstly, skin candidate regions are extracted from the given image by skin color filtering and projection method. Then Gabor-feature based template matching is performed to choose face cadidate from the skin candidate regions. The chosen face candidate region is transformed into 2-level wavelet decomposition images, from which feature vectors are extracted for classification. Based on the extracted feature vectors, the face candidate region is finally classified into either face or nonface class by the Levenberg-Marguardt back-propagation neural network.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2007년도 한국컴퓨터종합학술대회논문집 Vol.34 No.1 (A)
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• pp.222-223
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• 2007

• 한국멀티미디어학회논문지
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• 제15권4호
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• pp.501-507
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• 2012

Human body motion is a non-verbal part for interaction or movement that can be used to involves real world and virtual world. In this paper, we explain a study on natural user interface (NUI) in human hand motion recognition using RGB color information and depth information by Kinect camera from Microsoft Corporation. To achieve the goal, hand tracking and gesture recognition have no major dependencies of the work environment, lighting or users' skin color, libraries of particular use for natural interaction and Kinect device, which serves to provide RGB images of the environment and the depth map of the scene were used. An improved Camshift tracking algorithm is used to tracking hand motion, the experimental results show out it has better performance than Camshift algorithm, and it has higher stability and accuracy as well.

• 한국축산식품학회지
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• 제38권2호
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• pp.338-349
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• 2018

The objective of this study was to investigate comparison of physicochemical, microbiological, and sensory characteristics of Hanwoo eye of round by various packaging methods [wrapped packaging (WP), modified atmosphere packaging (MAP), vacuum packaging (VP) with three different vacuum films, and vacuum skin packaging (VSP)] at a small scale. Packaged Hanwoo beef samples were stored in refrigerated conditions ($4{\pm}1^{\circ}C$) for 28 days. Packaged beef was sampled on days 0, 7, 14, 21, and 28. Physicochemical [pH, surface color, thiobarbituric acid reactive substances (TBARS), and volatile basic nitrogen (VBN) values], microbiological, and sensory analysis of packaged beef samples were performed. VP and VSP samples showed low TBARS and VBN values, and pH and surface color did not change substantially during the 28-day period. For VSP, total viable bacteria, psychrotrophic bacteria, lactic acid bacteria, and coliform counts were lower than those for other packaging systems. Salmonella spp. and Escherichia coli O157:H7 were not detected in any packaged beef samples. A sensory analysis showed that the scores for appearance, flavor, color, and overall acceptability did not change significantly until day 7. In total, VSP was effective with respect to significantly higher $a^*$ values, physicochemical stability, and microbial safety in Hanwoo packaging (p<0.05).

• 방송공학회논문지
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• 제13권4호
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• pp.427-439
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• 2008

본 논문에서는 일반 단일 시점의 축구 비디오를 스테레오스코픽 영상으로 변환하는 방법을 제안한다. 축구 비디오 분석 과정을 통하여 축구 비디오를 일정한 종류의 샷으로 분류하고, 분류된 샷 종류에 따른 깊이지도 생성 방법을 제안한다. 원거리 샷의 경우에는 운동장 영역 추출을 통하여 운동장 영역에 깊이기도 (Depth Map)을 생성하는 방법을 제안한다. 그리고 비 원거리 샷의 경우, 운동장 영역 블록 수와, 간단한 피부색 발견 알고리즘을 통해 생성한 스킨 블록의 수에 따라 다시 3가지로 샷을 분류하고, 각 종류의 샷에 따른 깊이지도 생성 방식 1) 오브젝트 영역 추출을 통한 깊이지도 생성, 2) 스킨 블록을 이용한 전경 영역 추출과 가우시안 함수를 이용한 깊이기도 생성, 그리고 3) 스킨블록이 없는 상황에서의 깊이기도 생성 방법을 제안한다. 제안한 방법을 통하여 생성한 깊이 지도를 이용하여, 스테레오스코픽 영상을 생성하는 방법을 소개하고, 생성한 실험영상을 결과로 제공한다. 그리고 주관적 깊이감 품질 평가를 통해서, 제안된 방법을 통해 생성된 영상이 원본 영상에 비해 깊이감이 향상됨을 증명한다.