• Title/Summary/Keyword: Multiple Target

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Design of Adaptive Fuzzy IMM Algorithm for Tracking the Maneuvering Target with Time-varying Measurement Noise

  • Kim, Hyun-Sik;Kim, In-Ho
    • International Journal of Control, Automation, and Systems
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    • 제5권3호
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    • pp.307-316
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    • 2007
  • In real system application, the interacting multiple model (IMM) based algorithm operates with the following problems: it requires less computing resources as well as a good performance with respect to the various target maneuvering, it requires a robust performance with respect to the time-varying measurement noise, and further, it requires an easy design procedure in terms of its structures and parameters. To solve these problems, an adaptive fuzzy interacting multiple model (AFIMM) algorithm, which is based on the basis sub-models defined by considering the maneuvering property and the time-varying mode transition probabilities designed by using the mode probabilities as the inputs of the fuzzy decision maker whose widths are adjusted, is proposed. To verify the performance of the proposed algorithm, a radar target tracking is performed. Simulation results show that the proposed AFIMM algorithm solves all problems in the real system application of the IMM based algorithm.

Detection of Multiple Salient Objects by Categorizing Regional Features

  • Oh, Kang-Han;Kim, Soo-Hyung;Kim, Young-Chul;Lee, Yu-Ra
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권1호
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    • pp.272-287
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    • 2016
  • Recently, various and effective contrast based salient object detection models to focus on a single target have been proposed. However, there is a lack of research on detection of multiple objects, and also it is a more challenging task than single target process. In the multiple target problem, we are confronted by new difficulties caused by distinct difference between properties of objects. The characteristic of existing models depending on the global maximum distribution of data point would become a drawback for detection of multiple objects. In this paper, by analyzing limitations of the existing methods, we have devised three main processes to detect multiple salient objects. In the first stage, regional features are extracted from over-segmented regions. In the second stage, the regional features are categorized into homogeneous cluster using the mean-shift algorithm with the kernel function having various sizes. In the final stage, we compute saliency scores of the categorized regions using only spatial features without the contrast features, and then all scores are integrated for the final salient regions. In the experimental results, the scheme achieved superior detection accuracy for the SED2 and MSRA-ASD benchmarks with both a higher precision and better recall than state-of-the-art approaches. Especially, given multiple objects having different properties, our model significantly outperforms all existing models.

다중 UAV 협업을 위한 선형 분산 피동 표적추적 필터 설계 (Linear Distributed Passive Target Tracking Filter for Cooperative Multiple UAVs)

  • 이윤하;김찬영;나원상;황익호
    • 전기학회논문지
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    • 제67권2호
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    • pp.314-324
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    • 2018
  • This paper proposes a linear distributed target tracking filter for multiple unmanned aerial vehicles(UAVs) sharing their passive sensor measurements through communication channels. Different from the conventional nonlinear filtering schemes, the distributed passive target tracking problem is newly formulated within the framework of a linear robust state estimation theory incorporated with a linear uncertain measurement equation including the coordinate transform uncertainty. To effectively cope with the performance degradation due to the coordinate transform uncertainty, a linear consistent robust Kalman filter(CRKF) theory is devised and applied for designing a distributed passive target tracking filter. Through the simulations for typical UAV surveillance mission, the superior performance of the proposed method over the existing schemes of distributed passive target tracking are demonstrated.

고해상도 레이다를 이용한 모의 대상물 측정용 다중산란점 분별기의 설계 및 제작 (Design and Fabrication of a Multiple Scattering Points Discriminator for a Simulated Target Measurement using a High Range Resolution RADAR)

  • 정해창
    • 한국군사과학기술학회지
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    • 제21권3호
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    • pp.323-330
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    • 2018
  • In this paper, design and fabrication of a MSP(Multiple Scattering Points) discriminator for a simulated target measurement using a HRR(High Range Resolution) RADAR are described. The MSP discriminator is designed to provide a reference signal at the installed point on the simulated target in an outdoor test. The MSP discriminator is designed to have a remote control function that can turn the MSP discriminator on and off when the target moves to a remote location. While the MSP discriminator is off, the MSP discriminator is designed to be small enough not to spoil the target's unique RCS. The MSP discriminator consists of RF components in the Ku-band. In order to prevent spreading of the signal, a cable were added to the MSP discriminator to have an appropriate feedback loop delay considering the resolution of the RADAR. The fabricated MSP discriminator provided a reference scattering point as an RCS of approximately 1 dBsm. As a result, by using the MSP discriminator, the physical scattering points of the target were clearly identified in the measured signals with the RADAR.

IMM Method Using Intelligent Input Estimation for Maneuvering Target Tracking

  • Lee, Bum-Jik;Joo, Young-Hoon;Park, Jin-Bae
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.1278-1282
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    • 2003
  • A new interacting multiple model (IMM) method using intelligent input estimation (IIE) is proposed to track a maneuvering target. In the proposed method, the acceleration level for each sub-model is determined by IIE-the estimation of the unknown acceleration input by a fuzzy system using the relation between maneuvering filter residual and non-maneuvering one. The genetic algorithm (GA) is utilized to optimize a fuzzy system for a sub-model within a fixed range of acceleration input. Then, multiple models are composed of these fuzzy systems, which are optimized for different ranges of acceleration input. In computer simulation for an incoming ballistic missile, the tracking performance of the proposed method is compared with those of the input estimation (IE) technique and the adaptive interacting multiple model (AIMM) method.

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기업합병: 다수경쟁에서의 과잉지분에 대한 연구 (THE OVERPAYMENT IN MULTIPLE BIDDING)

  • 이유태
    • 재무관리연구
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    • 제14권3호
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    • pp.319-339
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    • 1997
  • This paper provides an empirical analysis of the winner's curse in the context of corporate takeovers. The study analyzes conditions which make overpayment likely. For a sample of corporate takeovers completed between 1982 and 1993, the analysis shows that the volatility of targets relative to that of acquirers (not the uncertainty of the target or acquirer alone) has a definitive impact on the magnitude of the winner's curse. Also, the incidence is more pronounced in multiple-bidder than in single-bidder contests. Specifically, white knights are more likely to overpay than other acquirers in multiple bidding situations. Furthermore, the study finds that the process of competitive bidding is a zero sum game since the greater returns to the shareholders of target firms in multiple-bid contests come at the expense of the acquiring companies, Overall, the evidence suggests that the bidders need to become more conservative, particularly as the relative uncertainty of the target's 'true' value and the number of bidders increase.

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무선 센서 네트워크에서 다중 타겟 커버리지와 연결성을 고려한 스케줄링 기법 (A Scheduling Scheme Considering Multiple-Target Coverage and Connectivity in Wireless Sensor Networks)

  • 김용환;한연희;박찬열
    • 한국통신학회논문지
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    • 제35권3B호
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    • pp.453-461
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    • 2010
  • 무선 센서 네트워크의 센서 노드들은 한정된 자원을 가지고 있으며 배터리의 교체가 어렵다는 특성을 가지고 있기 때문에 제한된 에너지를 효율적으로 사용하는 기법은 매우 중요하다. 지금까지 이러한 센서 노드의 에너지 소모를 최소화하기 위하여 다양한 스케줄링 문제 및 해결 방안에 관한 연구들이 진행되어 왔다. 특히 CTC(Connected Target Coverage) 문제는 타겟 커버리지와 연결성을 동시에 고려하여 센서 노드들의 효율적인 상태 전이 시점을 결정하는 대표적인 스케줄링 문제로 간주된다. 본 논문에서는 중복되어 센싱되는 타겟을 고려한 보다 올바른 센서 에너지 소비 모델을 제안하고 센서 네트워크의 수명을 더욱 연장 할 수 있는 CMTC(Connected Multiple-Target Coverage) 문제를 제시한다. 또한, 이 문제를 해결하기 위한 SPT(Shortest Path based on Targets) Greedy 알고리즘을 제안하고 시뮬레이션을 통하여 제안기법이 기존기법보다 센서 네트워크의 수명을 더욱 연장하는 기법임을 보인다.

지형 정보를 사용한 다중 지상 표적 추적 알고리즘의 연구 (Study on Multiple Ground Target Tracking Algorithm Using Geographic Information)

  • 김인택;이응기
    • 제어로봇시스템학회논문지
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    • 제6권2호
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    • pp.173-180
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    • 2000
  • During the last decade many researches have been working on multiple target tracking problem in the area of radar application, Various approaches have been proposed to solve the tracking problem and the concept of sensor fusion was established as an effort. In this paper utilization of geographic information for ground target tracking is investigated and performance comparison with the results of applying sensor fusion is described. Geographic information is used in three aspects: association masking target measurement and re-striction of removing true target. Simulation results indicate that using two sensors shows better performance with respect to tracking but a single with geographic information is a winner in reducing the number of false tracks.

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Disjoint Particle Filter to Track Multiple Objects in Real-time

  • Chai, YoungJoon;Hong, Hyunki;Kim, TaeYong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권5호
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    • pp.1711-1725
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    • 2014
  • Multi-target tracking is the main purpose of many video surveillance applications. Recently, multi-target tracking based on the particle filter method has achieved robust results by using the data association process. However, this method requires many calculations and it is inadequate for real time applications, because the number of associations exponentially increases with the number of measurements and targets. In this paper, to reduce the computational cost of the data association process, we propose a novel multi-target tracking method that excludes particle samples in the overlapped predictive region between the target to track and marginal targets. Moreover, to resolve the occlusion problem, we define an occlusion mode with the normal dynamic mode. When the targets are occluded, the mode is switched to the occlusion mode and the samples are propagated by Gaussian noise without the sampling process of the particle filter. Experimental results demonstrate the robustness of the proposed multi-target tracking method even in occlusion.