• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.7
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• pp.34-42
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• 1999

Multi-target tracking system is defined as tracking several targets simultaneously. Kalman filter is widely used for target tracking problems. Kalman filter is known to be extremely useful as an optimal estimator but has a shortcoming of computational complexity. So a simplified estimator model which had less computational burden is proposed for a real-time implementation of multi-target tracking systems. In this paper, Kalman filter is applied to implement a real-time tracking system with a simplified target model. The proposed Kalman filter model is simpler compared with those of conventional ones, greatly reducing computation time, yet keeping the tracking abilities of the optimal Kalman filter. Through both simulations and experiments with real environments, it is demonstrated that the proposed simplified model works good in real situation with multiple to be tracked.

• The Journal of the Acoustical Society of Korea
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• v.24 no.4
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• pp.230-237
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• 2005

The angle-tracking of maneuvering targets is required to the state estimation and classification of targets in underwater acoustic systems. The Problem of angle-tracking multiple closed and crossing targets has been studied by various authors. Sword et al. Proposed a multiple target an91e-tracking algorithm using angular innovations of the targets during a sampling Period are estimated in the least square sense using the most recent estimate of the sensor output covariance matrix. This algorithm has attractive features of simple structure and avoidance of data association problem. Ryu et al. recently Proposed an effective multiple target angle-tracking algorithm which can obtain the angular innovations of the targets from a signal subspace instead of the sensor output covariance matrix. Hwang et al. improved the computational performance of a multiple target angle-tracking algorithm based on the fact that the steering vector and the noise subspace are orthogonal. These algorithms. however. are ineffective when a subset of the incident sources are coherent. In this Paper, we proposed a new multiple target angle-tracking algorithm for coherent and incoherent sources. The proposed algorithm uses the relationship between source steering vectors and the signal eigenvectors which are multiplied noise covariance matrix. The computer simulation results demonstrate the improved Performance of the Proposed algorithm.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.27 no.6
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• pp.545-556
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• 2016

JPDAF is a method of updating target's state estimation by using posterior probability that measurements are originated from existing target in multi-target tracking. In this paper, we propose a multi-target tracking algorithm for falling cluster bombs separated from a mother bomb based on JPDAS method which is obtained by applying fixed-interval smoothing technique to JPDAF. The performance of JPDAF and JPDAS multi-target tracking algorithm is compared by observing the average of the difference between targets' state estimations obtained from 100 independent executions of two algorithms and targets' true states. Based on this, results of simulations for a radar tracking problem that show proposed JPDAS has better tracking performance than JPDAF is presented.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.449-452
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• 2000

본 논문은 다중의 사람을 동시에 검지 및 추적하기 위한 방법을 제안한다 여러 명의 검지된 사람들이 교차해서 움직이거나 폐색(occlusion) 되어 움직이는 경우 이를 검지하고 신뢰적으로 추적하기 위한 방법을 제시한다. 카메라의 시야 범위 안에 나타난 표적은 일정한 크기를 가지는 오브젝트이므로, 배경영상에서 전경 영상만을 분리하는 과정에서 오브젝트의 크기를 고려하여 표적을 검지 한다. 표적의 검지는 환경적인 요인에 의한 부가요소에 적응적으로 대치하기 위해 적응적인 영상처리기법을 사용한다. 최종적으로 검지 된 표적을 동시에 추적하기 위해 본 논문에서는 JPDA(Joint Probability Data Association) 필터를 이용하며 ,표적간의 폐색을 처리하기 위한 방법으로 전이모델을 첨가해서 사용한다. 다중 표적의 추적에 관한 실험의 유효성 및 강인함은 다양한 실제 영상의 실험을 통해 입증한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.382-385
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• 2007

본 논문에서는 다중 표적의 중첩이라는 상황에 대한 새로운 해결 방식을 소개한다. 비선형 표적의 위치와 속도에 대한 추적을 중심으로 표적과 비표적의 중첩이 일어나는 순간 이후 분리되었을 때 추적중인 표적을 지속적으로 유지할 수 있는 방법에 대해 이야기 하고자 한다. 이 논문에서 제안된 알고리즘은 예측 명중위치 개념과 최대 잡음수준을 이용한 칼만필터 기반의 적응 상호작용 다중모델 기법으로 측정된 위치값과 예측된 명중위치 사이의 차이를 고려한 변형된 칼만필터 개념을 이용한다. 이 논문에서는 비선형 표적의 가속도를 시변 변수인 표적의 추가적인 잡음으로 두고 각각의 가속도 간격의 정도에 따라 얻어지는 모든 잡음에 대한 변수에 의해 각각의 하부 모델들을 특성화시켰다. 제안된 알고리즘은 표적의 운동특성에 따라 적응적으로 기법을 선택할 수 있는 선택적 방식을 구현하고자 한다. 표적의 기동중에 나타나는 가속도를 효과적으로 다루기 위하여 잡음의 크기가 급격히 증가하는 경우 그 증가분을 가속도로 인식하여 기동표적 관계식에 이용한다. 그리고 제안된 알고리즘의 수행 가능성을 보여주기 위하여 몇 가지 예를 제시하였다.

• The Proceeding of the Korean Institute of Electromagnetic Engineering and Science
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• v.8 no.1
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• pp.43-56
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• 1997

다중 표적 추적(MTT:Multiple Target Tracking)은 한 개 또는 그 이상의 센서들을 사용하는 감시(sureillance) 시스템을 위해서 컴퓨터와 마찬가지로 주변상황을 해석하는데 없어서는 안되는 중 요한 요소이다. 레이다, IR(Infrared) 및 Sonar등과 같은 전형적인 센서 시스템들은 여러 가지 신호원 (sources): 문제의 표적, 레이다 지면 클러터(clutter)같은 후면잡음 또는 열잡음같은 내부 오차 요인 으로부터 측정치(measurement)를 만들어 준다. 다중표적용 추적방식의 목적은 센서가 제공하는 측 정 데이터들을 동일한 신호원으로부터 나온 여러 세트의 관측치(observations) 또는 트랙(track)으로 구분해내는 것이다. 이와 같이 일단 트랙이 구성되고 확정되면 후면잡음이나 허위표적을 제거할 수 있 도록 표적의 수를 추산하고 표적의 속도나 예상위치 및 표적의 종류와 기타특성을 계산해낼 수 있다.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.7
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• pp.43-49
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• 1999

Multi-target tracking system is defined as tracking several targets simultaneously. Data association is needed for tracking a among the measurements of several targets. In this paper, a method based on the confidence region of predicted target position is proposed. The simulation results and the application results in multi-target tracking systems show the superior properties of the proposed method.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.6
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• pp.497-502
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• 2002

The problem of maneuvering target tracking has been studied in the field of the state estimation over decades. The Kalman filter has been widely used to estimate the state of the target, but in the presence of a maneuver, its performance may be seriously degraded. In this paper, to solve this problem and track a maneuvering target effectively, a DNA coding-based interacting multiple model (DNA coding-based W) method is proposed. The proposed method can overcome the mathematical limits of conventional methods by using the fuzzy logic based on DNA coding method. The tracking performance of the proposed method is compared with those of the adaptive IMM algorithm and the GA-based IMM method in computer simulations.

• Journal of the Institute of Convergence Signal Processing
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• v.14 no.1
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• pp.33-38
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• 2013

In this paper, we propose an algorithm to track multi-small targets in infrared image sequences in case of dissipation or creation of targets by using the background estimation filter, Kahnan filter and mean shift algorithm. We detect target candidates in a still image by subtracting an original image from an background estimation image, and we track multi-targets by using Kahnan filter and target selection. At last, we adjust specific position of targets by using mean shift algorithm In the experiments, we compare the performance of each background estimation filters, and verified that proposed algorithm exhibits better performance compared to classic methods.

• The Journal of the Acoustical Society of Korea
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• v.24 no.5
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• pp.294-300
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• 2005

Generally, traditional approaches to track the target position are to estimate ranges and bearings by 2-D MUSIC (MUltiple 519na1 Classification) method. and to associate estimates of 2-D MUSIC made at different time points with the right targets by JPDA (Joint Probabilistic Data Association) filter in the near field. However, the disadvantages of these approaches are that these have the data association Problem in tracking multiple targets. and that these require the heavy computational load in estimating a 2-D range/bearing spectrum. In case multiple targets are adjacent. the tracking performance degrades seriously because the estimate of each target's Position has a large error. In this paper, we proposed a new tracking algorithm using Position innovations extracted from the senor output covariance matrix in the near field. The proposed algorithm is demonstrated by the computer simulations dealing with the tracking of multiple closing and crossing targets.