• 디지털융복합연구
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• 제11권10호
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• pp.359-366
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• 2013

영상보안은 CCTV 카메라, 디지털 저장장치, 영상분석 및 인식기술 등의 발전과 시장 확대로 인하여 실시간 감시 시스템이나 지능형 영상보안 시스템 등의 보다 진화된 기술의 개발을 요구하고 있다. CCTV 카메라 시스템에서 회전이 가능한 PTZ 카메라는 줌인 기능을 가지고 있으므로 물체에 대한 정밀한 영상을 획득할 수 있으나 사각 지대가 발생할 수 있으며 동시에 두 개 이상의 이동하는 물체에 대한 감시가 불가능한 단점을 가지고 있었다. 본 연구는 지능형 동체추적 CCTV 시스템 및 영상 감시 방법에 관한 것으로 전체 영역을 감시하는 하나의 고정 카메라와 두 개 이상의 PTZ 카메라를 사용하여 광범위 영역에서 동시에 이동하는 다수의 물체를 정밀하게 촬영할 수 있는 지능형 영상 보안 시스템을 제안한다.

• 한국산업정보학회논문지
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• 제15권3호
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• pp.41-49
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• 2010

최근 RFID 시스템은 응용 범위를 넓혀가고 있으나 무선 통신의 불안전한 특성으로 인한 정보 보안 문제 및 응용 객체별 별도 태그 사용에 의한 불편함 등의 문제점들을 내포하고 있다. 따라서 RFID 기술을 응용한 시스템의 확산을 위해서는 안정적인 정보 보호를 바탕으로 한 여러 응용 객체들 간의 효율적인 정보 공유에 대한 연구가 마련되어야 한다. 본 논문에서는 하나의 태그로 다수 개의 RFID 응용 객체들에 접근할 수 있도록 하는 다중 객체 접근을 위한 RFID 태그 구조를 설계하고, 이러한 태그 내에 저장되는 각 응용 객체에 대한 정보를 보호하기 위한 암호화 알고리즘을 제안한다. 제안하는 알고리즘은 기존의 암호화 기법인 SEED 알고리즘을 RFID 시스템의 특성에 맞도록 경량화한 방법이다. 태그 정보를 보호하기 위한 SEED 변형 알고리즘의 성능은 암 복호화의 속도를 측정하여 기존의 SEED 알고리즘과 비교하여 평가한다.

• 한국광학회:학술대회논문집
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• 한국광학회 2009년도 동계학술발표회 논문집
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• pp.167-168
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• 2009

We propose a new computing method for Fourier hologram of 3D objects captured by lens array. Fourier hologram of the two objects which positioned at different distances can be calculated using multiple orthographic view images. The size of the Fourier hologram is in proportion to the number of the orthographic view images. By repeating the orthographic view images, the size of the Fourier hologram can be increased. The principle is verified by numerically reconstructing the hologram which is synthesized from the orthographic images captured optically.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.721-725
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• 2004

Multiple-count problem is occurred when rectangle objects span across several buckets. The Cumulative Density (CD) histogram is a technique which solves multiple-count problem by keeping four sub-histograms corresponding to the four points of rectangle. Although it provides exact results with constant response time, there is still a considerable issue. Since it is based on a query window which aligns with a given grid, a number of errors may be occurred when it is applied to real applications. In this paper, we proposed selectivity estimation techniques using the generalized cumulative density histogram based on two probabilistic models: (1) probabilistic model which considers the query window area ratio, (2) probabilistic model which considers intersection area between a given grid and objects. In order to evaluate the proposed methods, we experimented with real dataset and experimental results showed that the proposed technique was superior to the existing selectivity estimation techniques. The proposed techniques can be used to accurately quantify the selectivity of the spatial range query on rectangle objects.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1524-1529
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• 2005

Particle filter is a kind of conditional density propagation model. Its similar characteristics to both selection and mutation operator of evolutionary strategy (ES) due to its Bayesian inference rule structure, shows better performance than any other tracking algorithms. When a new object is entering the region of interest, particle filter sets which have been swarming around the existing objects have to move and track the new one instantaneously. Moreover, there is another problem that it could not track multiple objects well if they were moving away from each other after having been overlapped. To resolve reinitialization problem, we use competitive-AVQ algorithm of neural network. And we regard interfarme difference (IFD) of background images as potential field and give priority to the particles according to this IFD to track multiple objects independently. In this paper, we showed that the possibility of real-time object tracking as intelligent interfaces by simulating the deformable contour particle filters.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.103.5-103
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• 2001

This paper presents a visual feedback system that controls a micromanipulator using multiple microscopic vision information. The micromanipulation stations basically have optical microscope. However the single field-of-view of optical microscope essentially limits the workspace of the micromanipulator and low dept-of-field makes it difficult to handle 3D-shaped micro objects. The system consists of a stereoscopic microscope, three CCD cameras, the micromanipulator and personal computer. The use of stereoscopic microscope which has long working distance and high depth-of-field with selective field-of-view improves the recognizability of 3D-shaped micro objects and provides a method for overcoming several essential limitations in micromanipulation. Thus, visual feedback information is very important in handling micro objects for overcoming those limitations and provides a mean for the ...

• 제어로봇시스템학회논문지
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• 제22권11호
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• pp.952-959
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• 2016

This paper proposes a novel indoor positioning system (IPS) that uses a calibrated camera sensor network and dense 3D map information. The proposed IPS information is obtained by generating a bird's-eye image from multiple camera images; thus, our proposed IPS can provide accurate position information when objects (e.g., the mobile robot or pedestrians) are detected from multiple camera views. We evaluate the proposed IPS in a real environment with moving objects in a wireless camera sensor network. The results demonstrate that the proposed IPS can provide accurate position information for moving objects. This can improve the localization performance for mobile robot operation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.1347-1349
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• 1996

Most real image sequences contain multiple moving objects or multiple motions. In this paper, we segmented the moving objects with optical flow. Motion estimation by this method can estimate and compress the image sequences better than other methods such as block matching method. And, especially, we can make new image sequences by synthesizing the segmented objects. But, it takes too much time for motion estimation. And, it is not easy for a hardware implementation.

• 대한기계학회논문집A
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• 제27권5호
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• pp.697-704
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• 2003

In this paper, the visual tracking system for arbitrary shaped moving object is proposed. The established tracking system can be divided into model based method that needs previous model for target object and image based method that uses image feature. In the model based method, the reliable tracking is possible, but simplification of the shape is necessary and the application is restricted to definite target mod el. On the other hand, in the image based method, the process speed can be increased, but the shape information is lost and the tracking system is sensitive to image noise. The proposed tracking system is composed of the extraction process that recognizes the existence of moving object and tracking process that extracts dynamic characteristics and shape information of the target objects. Specially, active contour model is used to effectively track the object that is undergoing shape change. In initializatio n process of the contour model, the semi-automatic operation can be avoided and the convergence speed of the contour can be increased by the proposed effective initialization method. Also, for the efficient solution of the correspondence problem in multiple objects tracking, the variation function that uses the variation of position structure in image frame and snake energy level is proposed. In order to verify the validity and effectiveness of the proposed tracking system, real time tracking experiment for multiple moving objects is implemented.

• 전자공학회논문지S
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• 제36S권11호
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• pp.95-101
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• 1999

본 논문은 연속 영상에서 윤곽선과 특징을 이용하여 주위 환경 변화에 적응가능한 다중 물체 추적 방법을 제안한다. 적응 배경 모델을 사용하여 주위 환경 변화에 적응케 했으며, 물체 분할 모델은 배경 영상과 현재 영상의 차영상에서 국부 영상의 임계값 이상의 화소를 찾아 연결한 영역을 추출한다. 특징 추출과 물체인식모델은 탐색 창 내에서 발견된 다중 물체의 데이터 연상 문제를 해결하기 우해 사용되며, 실시간 추적을 위해 칼만 필터를 사용하였다. 제안된 방법을 도로 영상에 적용한 결과 다중 차량 추적이 정확히 이루어짐을 실험을 통해 보였다.