• 한국군사과학기술학회지
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• 제12권4호
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• pp.500-507
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• 2009

This paper presents a novel method which can detect a target in IR image for active protection system. The target in IR image for the active protection system is small, moreover it moves with enormous speed. The proposed algorithm is comprised of robust clutter rejection methods and target optimized detection algorithms for small target, and an advanced method of selecting a final target position in target area, it can work in some milliseconds. The proposed algorithm provides the active protective system with more correct positions than those of radar, so that helps the active protection system can defense all threats with the utmost precision.

• 한국컴퓨터정보학회논문지
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• 제21권11호
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• pp.31-38
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• 2016

In this paper, we propose multi-scale infrared target detection algorithm with varied filter size using integral image. Filter based target detection is widely used for small target detection, but it doesn't suit for large target detection depending on the filter size. When there are multi-scale targets on the sky background, detection filter with small filter size can not detect the whole shape of the large targe. In contrast, detection filter with large filter size doesn't suit for small target detection, but also it requires a large amount of processing time. The proposed algorithm integrates the filtering results of varied filter size for the detection of small and large targets. The proposed algorithm has good performance for both small and large target detection. Furthermore, the proposed algorithm requires a less processing time, since it use the integral image to make the mean images with different filter sizes for subtraction between the original image and the respective mean image. In addition, we propose the implementation of real-time embedded system using FPGA.

• 한국군사과학기술학회지
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• 제14권4호
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• pp.676-683
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• 2011

In this paper, we propose a robust method which can detect and track a high-speed small approaching target in a cluttered environment for Korean Active Protection System. The proposed method uses a temporal and spatial filter, tracking filter to detect and track a single target in consecutive order. And it is comprised of a candidate target detection step, a prior target selection step and a target tracking. Field tests on real infrared image sequences show that the proposed method could stably track a high speed and small target in complex background and target occlusion.

• 한국산업정보학회논문지
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• 제17권4호
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• pp.61-70
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• 2012

본 논문에서는 모폴로지 연산을 기반으로 소형 표적 후보를 찾고, 변형된 가우시안 거리 함수를 이용해서 소형 표적을 검출하는 방법을 제안한다. 기존의 소형 표적 검출 방법은 예측 필터를 이용하는 방법과 모폴로지를 이용하는 방법이 있다. 예측필터를 이용하는 방법의 경우 최소 오차 수렴 시간이 오래 걸리고, 모폴로지를 이용하는 방법의 경우 클러터에 취약하고, 소형 표적의 크기를 고려하여 구조요소의 크기를 선정해야 하는 단점이 있다. 본 논문에서는 기존 연구 방법의 단점을 보완한 강인한 소형 표적 검출 방법을 제안한다. 제안하는 방법은 먼저 미디언 필터를 사용해서 클러터를 제거한다. 다음으로 다양한 크기의 구조 요소를 이용해 닫힘 연산과 열림 연산을 수행하고, 닫힘 연산 결과와 열림 연산 결과를 차 연산 하여 표적 후보 화소를 구한다. 정확한 소형 표적을 검출하기 위해 표적 후보 영역에서 가우시안 거리 함수를 이용하여 표적을 검출한다. 제안한 방법은 클러터에 민감하지 않고, 98%의 검출율을 보였다.

• Applied Science and Convergence Technology
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• 제24권6호
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• pp.284-288
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• 2015

Anionic small molecules are hard to penetrate the cell membranes because of their negative charges. Encapsulation of small molecules into liposome particles can provide target specific delivery of them. In our previous study, siRNA could be efficiently encapsulated into liposome particles using an asymmetric preparation method of liposomes. In this study, the same method was applied for encapsulation of small anionic fluorescent chemicals such as calcein and indocyanine green (ICG). More than 90% fluorescent chemicals were encapsulated in the asymmetric liposome particles (ALPs). No intracellular fluorescent signal was observed in the tumor cells treated with the unmodified calcein/ALPs and ICG/ALPs, whereas the surface modification with a cell-penetrating polyarginine peptide (R8 or R12) allows cellular uptake of the ALPs. The results demonstrate that the ALPs encapsulating small anionic drugs will be useful for target-specific delivery after modification of target-specific ligands.

• 한국컴퓨터정보학회논문지
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• 제21권8호
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• pp.21-28
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• 2016

In this paper, we propose a fast small target detection method using multiple filters, and describe system implementation using IPP libraries. To detect small targets in Infra-Red images, it is mandatory that you should apply a filter to eliminate a background and identify the target information. Moreover, by using a suitable algorithm for the environments and characteristics of the target, the filter must remove the background information while maintaining the target information as possible. For this reason, in the proposed method we have detected small targets by applying multi area(spatial) filters in a low luminous environment. In order to apply the multi spatial filters, the computation time can be increased exponentially in case of the sequential operation. To build this algorithm in real-time systems, we have applied IPP library to secure a software optimization and reduce the computation time. As a result of applying real environments, we have confirmed a detection rate more than 90%, also the computation time of the proposed algorithm have been improved about 90% than a typical sequential computation time.

• 한국전자파학회논문지
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• 제15권9호
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• pp.835-840
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• 2004

현재 사용되고 있는 소형 레이더 장치는 타선의 진운동정보(진침로, 진속력)나 충돌회피정보(CPA, TCPA) 및 주위 상황 변화에 대한 다양한 물표 정보를 제공할 수 없는 문제가 있다. 따라서 본 논문에서는 이와 같은 문제에 주목하여 일반 소형 어선에 탑재되어 있는 저가형의 소형 레이더 장치로부터 analog video signal, trigger, bearing 및 heading pulse를 공급받아 현용의 자동 레이더 플롯팅 장치(Automatic Radar Plating Aid, ARPA) 레이더에서 제공하는 수준의 각종 정보를 정량적으로 추출 및 제공할 수 있는 레이더 목표 추출 장치(Radar Target Extractor, RTE)를 개발하여 소형 레이더 장치에 부착시켜 소형 연근해 어선에서도 타선의 진운동정보 및 충돌회피 정보와 같은 항해 정보를 수집, 활용할 수 있도록 하였다.

• 한국산업정보학회논문지
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• 제18권4호
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• pp.53-60
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• 2013

본 논문에서는 소형표적의 검출속도를 개선하기 위하여, SAD 알고리즘을 이용한 소형표적 검출 방법을 제안한다. 먼저 미디언 필터를 사용해서 클러터를 제거한다. 다음으로 다양한 크기의 구조 요소를 이용해 닫힘 연산과 열림 연산을 수행하고, 닫힘 연산 결과와 열림 연산 결과를 차 연산 하여 표적 후보 화소를 추출한다. 정확한 소형 표적을 검출하기 위해 표적 후보 영역에서 가우시안 거리 함수를 이용하여 표적을 검출한다. 검출 속도를 개선하기 위하여 다음 7프레임에서는 표적의 방향성을 예측한 후, SAD알고리즘을 이용해서 표적을 검출한다. 제안한 방법은 예측된 영역에서만 표적을 추출함으로써 97%의 검출율을 나타내며, 실시간 처리가 가능한 장점을 가지고 있다.

• Transactions on Electrical and Electronic Materials
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• 제14권4호
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• pp.187-192
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• 2013

Because of the importance of small target detection in infrared images, many studies have been carried out in this area. Using a Kalman filter and mean shift algorithm, this study proposes an algorithm to track multiple small moving targets even in cases of target disappearance and appearance in serial infrared images in an environment with many noises. Difference images, which highlight the background images estimated with a background estimation filter from the original images, have a relatively very bright value, which becomes a candidate target area. Multiple target tracking consists of a Kalman filter section (target position prediction) and candidate target classification section (target selection). The system removes error detection from the detection results of candidate targets in still images and associates targets in serial images. The final target detection locations were revised with the mean shift algorithm to have comparatively low tracking location errors and allow for continuous tracking with standard model updating. In the experiment with actual marine infrared serial images, the proposed system was compared with the Kalman filter method and mean shift algorithm. As a result, the proposed system recorded the lowest tracking location errors and ensured stable tracking with no tracking location diffusion.

• 한국군사과학기술학회지
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• 제11권1호
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• pp.66-74
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• 2008

This paper presents a new small target detection method using scale invariant feature. Detecting small targets whose sizes are varying is very important to automatic target detection. Scale invariant feature using the Laplacian scale-space can detect different sizes of targets robustly compared to the conventional spatial filtering methods with fixed kernel size. Additionally, scale-reflected adaptive thresholding can reduce many false alarms. Experimental results with real IR images show the robustness of the proposed target detection in real world.