• Proceedings of the KAIS Fall Conference
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• 2008.11a
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• pp.188-190
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• 2008

본 논문에서는 초음파 센서를 이용하여 이동하는 표적의 위치를 실시간으로 추적하는 위치추적 시스템을 개발하였다. 위치 추적 시스템은 4 개의 초음파 센서를 이용해서 각 센서에서 탐지되는 표적까지의 거리 정보를 이용하여 이동하는 표적의 위치좌표(x,y)를 구하였다. 특히 초음파 센서가 가지고 있는 빔폭 특성을 고려하여 4 개 센서 중 2개 센서에만 표적이 탐지될 경우 표적의 위치를 최적화하는 방안을 제시하였으며 개발된 알고리즘을 하드웨어에 장착하어 감시시스템이 실시간 양호하게 구동하는것을 확인하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.565-566
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• 2023

적외선 영상에서 정확하게 표적을 포착하기 위해서는 수많은 거짓 표적과 참표적을 실시간으로 구별하고, 최종적으로 참 표적 하나만을 추적 할 수 있어야 한다. 본 논문에서는 추적 게이트의 이동거리 및 이동 방향을 실시간 감시하여 추적 게이트의 이상 움직임 유무를 확인하고, 추적 필터가 설정한 임계값 대비 높은 수치로 이동하거나, 한 방향이 아닌 다양한 방향으로 움직일 경우 해당 게이트를 신속하게 제거하여 거짓 표적에 대한 추적을 방지하도록 하였다. 또한 추적 게이트 이동 거리 및 확장 크기를 동적으로 조절함으로써 표적의 크기 변화와 표적의 움직임에 강인하게 추적 필터가 동작 되도록 설계하였다.

• Current Industrial and Technological Trends in Aerospace
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• v.4 no.1
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• pp.83-91
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• 2006

추적레이다는 표적으로부터 반사되어 돌아오는 신호 또는 질의 신호에 대한 응답 신호를 수신하여 표적을 추적하는 장비이다. 추적레이다가 표적을 추적하는 범위는 일반적으로 좁게 한정되므로 이동하는 표적을 추적하기 위해서는 먼저 안테나 빔의 지향각과 거리를 표적에 맞추고, 표적이 획득된 후에는 안테나 빔을 연속적으로 이동하는 표적을 향해 방사하여 표적을 추적하게 된다. 일반적으로 추적레이다가 표적을 추적하는 경우에는 과정 잡음과 측정 잡음에 의해서 발생되는 부정확성과 관심없는 표적이나 클러터 등으로부터 생성된 측정 근원의 부정확성으로 인한 문제가 발생하게 된다. 이러한 표적 추적에 따른 문제를 해결하기 위해서 많은 추적 알고리듬들이 개발되어 왔다. 이 논문에서는 가장 기본적인 표준 칼만 필터와 측정 근원의 부정확성에 따른 데이터 연관 문제를 고려한 여러 추적 알고리듬에 대해서 기술하였다. 또한 한국항공우주연구원 우주센터의 우주발사체 추적용 추적레이다에 대한 간략한 설명과 우주발사체 추적에 사용되는 추적 알고리듬에 대해서 소개하였다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.7
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• pp.601-608
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• 2021

Launch Acceptability Region of Air-to-Surface Guided Bomb is defined as the set of release points in order to reach a target successfully. LAR is consisted of fixed target area and moving target area whether the target maneuvers or not. In this paper, the computational algorithm of LAR is studied for fixed and moving target. First, multi-simulations are performed varying platform, target, and atmospheric environment to attain Min/Max DB. Second, the LAR functions are obtained using regression and classification algorithm. For operational suitability, the algorithm for display of LAR is studied to obtain appropriate LAR. In this progress, the results of LAR are suitable to apply air-to-ground guided bomb for moving target.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.7
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• pp.749-757
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• 1992

In this paper, as a more effective approach for maneuvering target tracking a realtime optical tracking system based of optical JTC(Joint Transform Correlator) which is capable of transforming the massive input target data into a few correlation peaks is implemented. And for real-time implementation the high resolution LCD(Liquid Crystal Display) spatialight modulator is used to construct the optical JTC system, and the mean binarization method is used to reduce the effects of background noises on correlation signal. From the good experimental results on maneuvering targets, the possibility of real-time moving target tarcking system based on optical JTC is a suggested.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.28 no.2
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• pp.139-146
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• 2017

A ground moving target's velocity estimation algorithm applicable for a SAR-GMTI system using 2 channel displaced phase center antenna(DPCA) is proposed. In this algorithm, we assume target's across-track velocity can be estimated by along-track interferometry (ATI) and present a method to estimate target's along-track velocity. To accomplish this method, we first transform a radar-target geometry in which a moving target has zero velocity via altering a radar velocity such that target's velocity is reflected into it and next manipulate the spectral centers of the subapertures within the synthetic aperture. The validity of the proposed algorithm is demonstrated through simulation results showing the performance of the target's velocity estimation and the enhancement of reconstructed target image quality in terms of resolution and SINR.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.4C
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• pp.514-523
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• 2004

In this paper, a new intelligent moving target tracking and surveillance system basing on the pan/tilt-embedded stereo camera system is suggested and implemented. In the proposed system, once the face area of a target is detected from the input stereo image by using a YCbCr color model and then, using this data as well as the geometric information of the tracking system, the distance and 3D information of the target are effectively extracted in real-time. Basing on these extracted data the pan/tilted-embedded stereo camera system is adaptively controlled and as a result, the proposed system can track the target adaptively under the various circumstance of the target. From some experiments using 80 frames of the test input stereo image, it is analyzed that standard deviation of the position displacement of the target in the horizontal and vertical directions after tracking is kept to be very low value of 1.82, 1.11, and error ratio between the measured and computed 3D coordinate values of the target is also kept to be very low value of 0.5% on average. From these good experimental results a possibility of implementing a new real-time intelligent stereo target tracking and surveillance system using the proposed scheme is finally suggested.

• Korean Journal of Cognitive Science
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• v.11 no.2
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• pp.37-51
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• 2000

The present study compared computer users target-selection response patterns when the targets were varied in terms of their relative location and distance from the current position of the cursor. In Experiment 1, where the mouse was used as an input device, the effects of different directions and distances of simple target(small rectangle) on target-selection response were investigated. The results of Experiment 1 can be summarized as follows: (1) Overshooting was more frequent than either undershooting or correct movement and (2) this tendency was more prominent when the targets were presented in the oblique direction or in farther location from the current cursor position. (3) Although the overshooting and undershooting were more frequent in the oblique direction, the degree of deviation was larger in horizontal and vertical direction. (4) Time spent in moving the mouse rather than that spent in planning, calibrating or clicking was found to be the most critical factor in determining total response time. In Experiment 2, effects of the font size and line-height of the target on target-selection response were compared with regard to two types of input devices(keyboard vs. mouse). The results are as follows: (1) Mouse generally yielded shorter target-selection time than keyboard. but this tendency was reversed when the targets were presented in horizontal and vertical directions. (2) In general, target-selection time was the longest in the condition of font size of 10 and line-height of 100%, and the shortest in the condition of font size of 12 and line-height of 150%. (3) When keyboard was used as the input device, target-selection time was shortest in the 150% line-height condition, whereas in the mouse condition, target-selection time tended to be increased as the line-height increased. which resulted in the significant interaction effect between input device and line-height. Finally, several issues relating to human-computer interaction were discussed based on the results of the present study.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.20 no.11
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• pp.1138-1144
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• 2009

The velocity and acceleration of the ground moving target can cause the target position to be displaced and defocused in the SAR image. In this paper, the displacement compensation scheme is presented to correct the displaced position and defocused moving target image in the DPCA based SAR-GMTI system. The influence of the ground moving target due to the velocity and acceleration is analyzed in range and azimuth directions, and its compensation method is presented with the simulation results. The performance of the proposed method is compared with respect to the estimated velocity and defocused quantity in both range and azimuth directions.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.11
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• pp.1201-1209
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• 1991

Generally, the conventional tracking algorithms are very limited in the practical applications because of its exponential increase in the required computation time for the number of targets being tracked. Therefore, in this paper, a new real-time moving target tracking system is proposed, which is based on the neural networks with massive parallel processing capabilities. Through the theoretical and experimental results, the target tracking system based on neural network algorithm is analyzed to be computationally independent of the number of objects being tracked and performs the optimized tracking through its massive parallel computation and learning capabilities. And this system also has massive matched filtering effects because the moving target data can be compactly stored in the interconnection weights by learning. Accordingly, a possibility of the proposed neural network target tracking system can be suggested to the fields of real-time application.