• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.190-191
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• 2022

본 논문에서는 RGB-D 카메라와 Mediapipe 모듈을 이용한 신체 추적 및 리깅 프레임 워크를 제안한다. Openpose 및 Mediapipe를 통해 스켈레톤 정보를 추출할 수 있으며, 이 정보를 그래픽스 엔진의 입력으로 사용하여 휴머노이드 아바타 기능을 통해 각 캐릭터의 아바타가 다르더라도 리깅을 구현할 수 있다. 결과적으로 수작업을 통해 리깅을 구현하는 시간을 단축시킬 수 있다. 두 모듈과 RGB-D 카메라를 통해 획득한 3차원 스켈레톤 정보를 통해 실시간으로 사용자를 추적하고 자동 rigging하는 그래픽스 엔진 프레임 워크를 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.541-544
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• 2008

e-비즈니스 환경 하에서 전자적 데이터 교환 또는 WEB을 이용한 비즈니스 트랜잭션 처리를 통해 산업 부분별 자동화나 정보화가 활발히 진행되었다. 전자적으로 데이터를 처리함으로 인해 기존 오프라인을 이용한 비즈니스 환경 보다는 처리 속도나 처리 시간이 단축되었으며 비용도 많이 절감되었다. 그러나 점차 실시간적으로 데이터를 처리하거나 실시간적으로 화물에 대한 흐름을 추적하고자 하는 사용자들의 요구사항이 도출되기 시작하였다. 이에 RFID, USN 등의 유비쿼터스 개념과 기술을 이용한 u-비즈니스가 도입되어 각 분야에 활발히 적용되고 있다. 특히 유통이나 운송 등 물류 분야에 유비쿼터스 기술이 적용됨으로 실시간으로 데이터를 수집할 수 있어 화물의 흐름 추적을 용이할 수 있는 기반이 되고 있다. 본 논문에서는 새로운 비즈니스 환경에 적합하도록 EPC Global 표준에 따라 개발된 RFID 미들웨어를 항만 물류 비즈니스에 적용할 수 있는 비즈니스 모델을 정의하였다. 또한 정의한 비즈니스 모델을 항만 물류 분야에 적용한 사례와 적용 결과에 대해 논의하고자 한다.

• Journal of the Korea Society of Computer and Information
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• v.14 no.1
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• pp.99-106
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• 2009

Though edge detection, an important stage that significantly affecting the performance of image recognition, has been given numerous researches on its execution methods, it still remains as difficult problem and it is one of the components for image recognition applications while it is not the only way to identify an object or track a specific area. This paper, unlike gradient operator using edge detection method, found out edge pixel by referring to 2 neighboring pixels information in binary image and comparing them with pre-defined 4 edge pixels pattern, and detected binary image edge by determining the direction of the next edge detection exploring pixel and proposed method to detect binary image edge by repeating step of edge detection to detect another area edge. When recognizing image, if edge is detected with the use of gradient operator, thinning process, the stage next to edge detection, can be omitted, and with the edge detection algorithm executing time reduced compared with existing area edge tracing method, the entire image recognizing time can be reduced by applying real-time image recognizing system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.8A
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• pp.581-590
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• 2003

This paper proposes the routing path selection mechanism for source routing-based PtMP (Point-to-Multipoint) call in ATM switching system. Especially, it suggests PtMP routing path selection method that can share the maximum resource prior to the optimal path selection, guarantee the reduction of path calculation time and cycle prevention. The searching for the nearest branch point from destination node to make the maximum share of resource is the purpose of this algorithm. Therefore among neighbor nodes from destination node by back-tracking, this algorithm fixes the node crossing first the node on existing path having the same Call ID as branch node, constructs the optimal PtMP routing path. The optimal node to be selected by back-tracking is selected by the use of Dijkstra algorithm. That is to say, PtMP routing path selection performs the step of cross node selection among neighboring nodes by back-tracking and the step of optimal node selection(optimal path calculation) among neighboring nodes by back-tracking. This technique reduces the process of search of routing information table for path selection and path calculation, also solves the cycle prevention easily during path establishment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.407-410
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• 2009

본 논문에서는 개선된 mean shift를 이용한 컬러 영상 분할을 소개한다. Mean shift는 Yizong Cheng에 의해 재조명되고 Dorin Comaniciu 등에 의해 정리되어 영상 필터링(image filtering), 영상 분할(image segmentation), 물체 추적(object tracking) 등 여러 응용 분야에 널리 활용되고 있다. 커널을 이용해 밀도를 추정하고 밀도가 가장 높은 점으로 커널을 연속적으로 이동함으로써 지역적으로 주요한 위치로 데이터 값을 갱신시킨다. 그러나 영상에 포함된 모든 화소에 대해 mean shift를 수행해야하기 때문에 연산 시간이 많이 소요되는 단점이 있다. 본 논문에서는 mean shift 필터링 과정을 분석하고 참조수렴방법과 강제수렴방법을 이용해 소요 시간을 단축시켰다. 모든 점에 대해 mean shift를 수행하는 대신 특정 조건을 만족하는 픽셀은 이웃 픽셀의 수렴 값을 참조하고, mean shift 과정에 진동 또는 미미한 이동을 계속하는 픽셀은 강제 수렴을 실시하였다. 개선된 방법과 기존의 mean shift 방식을 적용하여 영상 필터링과 영상 분할에 적용한 실험에서 결과 영상에는 차이가 적고 기존의 방법에 비해 수행 시간이 24% 정도 소요됨을 확인하였다.

• Journal of IKEEE
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• v.20 no.2
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• pp.128-135
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• 2016

Smart care surveillance system provides the services to track users automatically by using the nearest CCTV cameras which are capable of monitoring them after the system searches for CCTV cameras around them by using the GPS location information received from them. Because users send their GPS location information with using their smart device when they are in emergency situation or want to be cared for, they may expect quick response of helper in this system. However, in the previous system, the selection time of camera which is capable of monitoring is increased rapidly as the management area is expended because the area management server selects the camera by sorting the distance between all of CCTV cameras and users, and then monitors them whenever they send the location information. In this paper, we propose the method to reduce the selection time of the CCTV cameras for tracking the users by searching only the cameras near to the CCTV cameras used to track them.

• The KIPS Transactions:PartB
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• v.9B no.6
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• pp.707-714
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• 2002

This paper presents a real-time Hausdorff matching algorithm for tracking of moving object acquired from an active camera. The proposed method uses the edge image of object as its model and uses Hausdorff distance as the cost function to identify hypothesis with the model. To enable real-time processing, a high speed approach to calculate Hausdorff distance and half cross matching method to improve performance of existing search methods are also presented. the experimental results demonstrate that the proposed method can accurately track moving object in real-time.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.183-190
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• 2016

This paper proposes algorithm to reduce the computing time in a neural network that reduces transmission of data for tracking mobile objects in surveillance networks in terms of detection and communication load. Object Detection can be defined as follows : Given image sequence, which can forom a digitalized image, the goal of object detection is to determine whether or not there is any object in the image, and if present, returns its location, direction, size, and so on. But object in an given image is considerably difficult because location, size, light conditions, obstacle and so on change the overall appearance of objects, thereby making it difficult to detect them rapidly and exactly. Therefore, this paper proposes fast and exact object detection which overcomes some restrictions by using neural network. Proposed system can be object detection irrelevant to obstacle, background and pose rapidly. And neural network calculation time is decreased by reducing input vector size of neural network. Principle Component Analysis can reduce the dimension of data. In the video input in real time from a CCTV was experimented and in case of color segment, the result shows different success rate depending on camera settings. Experimental results show proposed method attains 30% higher recognition performance than the conventional method.

• Journal of Korea Game Society
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• v.7 no.3
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• pp.59-66
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• 2007

Ray tracing is one of the classical global illumination methods to generate a photo-realistic rendering image with various lighting effects such as reflection and refraction. However, there are some restrictions on real-time applications because of its computation load. In order to overcome these limitations, many researches of the ray tracing based on GPU (Graphics Processing Unit) have been presented up to now. In this paper, we implement the ray tracing algorithm by J. Purcell and combine it with two methods in order to improve the rendering performance for interactive applications. First, intersection points of the primary ray are determined efficiently using rasterization on graphics hardware. We then construct the acceleration structure of 3D objects to improve the rendering performance. There are few researches on a detail analysis of improved performance by these considerations in ray tracing rendering. We compare the rendering system with environment mapping based on GPU and implement the wireless remote rendering system. This system is useful for interactive applications such as the realtime composition, augmented reality and virtual reality.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.3_4
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• pp.109-116
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• 2003

Space leaping is one of accelerated image-order volume rendering. This method accelerates rendering speed by finding and leaping the empty space. Although its rendering speed is very fast, it takes long pre-processing time to make the data structure to leap the space. In this paper we propose the look-ahead sampling algorithm to double the leaping distance comparing with previous approaches. This algorithm reduces the preprocessing time to make the distance map without significant changes of rendering time. Also, it accelerates the rendering time.