• 제목/요약/키워드: Target Detection and Tracking

검색결과 234건 처리시간 0.024초

속도 명령 기반 PID 제어기를 이용한 멀티로터 무인항공기의 표적 자동 추종 시스템 구현 (Implementation of Automatic Target Tracking System for Multirotor UAVs Using Velocity Command Based PID controller)

  • 정현도;고선재;최병조
    • 대한임베디드공학회논문지
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    • 제13권6호
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    • pp.321-328
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    • 2018
  • This paper presents an automatic target tracking flight system using a PID controller based on velocity command of a multirotor UAV. The automatic flight system includes marker based onboard target detection and an automatic velocity command generation replacing manual controller. A quad-rotor UAV is equipped with a camera and an image processing computer to detect the marker in real time and to estimate the relative distance from the target. The marker tracking system consists of PID controller and generates velocity command based on the relative distance. The generated velocity command is used as the input of the UAV's original flight controller. The operation of the proposed system was verified through actual flight tests using a marker on top of a moving vehicle and tracks it to successfully demonstrate its capability using a quad-rotor UAV.

칼만필터를 이용한 이동 목표물의 실시간 시각추적의 구현 (The Implementation of the Realtime Visual Tracking of Moving Terget by using Kalman Filter)

  • 임양남;방두열;이성철
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1996년도 춘계학술대회 논문집
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    • pp.254-258
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    • 1996
  • In this paper, we proposed realtime visual tracking system of moving object for 2D target using extended Kalman Filter Algorithm. A targeting marker are recongnized in each image frame and positions of targer object in each frame from a CCD camera while te targeting marker is attached to the tip of the SCARA robot hand. After the detection of a target coming into any position of the field-of-view, the target is tracked and always made to be located at the center of target window. Then, we can track the moving object which moved in inter-frames. The experimental results show the effectiveness of the Kalman filter algorithm for realtime tracking and estimated state value of filter, predicting the position of moving object to minimize an image processing area, and by reducing the effect by quantization noise of image

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위상배열 레이다를 위한 적응 추적 알고리즘의 설계 (Design of an adaptive tracking algorithm for a phased array radar)

  • 손건;홍순목
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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    • pp.541-547
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    • 1992
  • The phased array antenna has the ability to perform adaptive sampling by directing the radar beam without inertia in any direction. The adaptive sampling capability of the phased array antenna allows each sampling time interval to be varied for each target, depending on the acceleration of each target at any time. In this paper we design a three-dimensional adaptive tracking algorithm for the phased array radar system with a given set of measurement parameters. The tracking algorithm avoids taking unnecessarily frequent samples, while keeping the angular prediction error within a fraction of antenna beamwidth so that the probability of detection will not be degraded during a track update illuminations. In our algorithm, the target model and the sampling rate are selected depending on the target range and the target maneuver status which is determined by a maneuver detector. A detailed simulation is conducted to test the validity of our tracking algorithm for encounter geometries under various conditions of maneuver.

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스마트 자동차의 BSD 검지를 위한 추적알고리즘에 관한 연구 (A Study on the Tracking Algorithm for BSD Detection of Smart Vehicles)

  • 김완태
    • 디지털산업정보학회논문지
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    • 제19권2호
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    • pp.47-55
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    • 2023
  • Recently, Sensor technologies are emerging to prevent traffic accidents and support safe driving in complex environments where human perception may be limited. The UWS is a technology that uses an ultrasonic sensor to detect objects at short distances. While it has the advantage of being simple to use, it also has the disadvantage of having a limited detection distance. The LDWS, on the other hand, is a technology that uses front image processing to detect lane departure and ensure the safety of the driving path. However, it may not be sufficient for determining the driving environment around the vehicle. To overcome these limitations, a system that utilizes FMCW radar is being used. The BSD radar system using FMCW continuously emits signals while driving, and the emitted signals bounce off nearby objects and return to the radar. The key technologies involved in designing the BSD radar system are tracking algorithms for detecting the surrounding situation of the vehicle. This paper presents a tracking algorithm for designing a BSD radar system, while explaining the principles of FMCW radar technology and signal types. Additionally, this paper presents the target tracking procedure and target filter to design an accurate tracking system and performance is verified through simulation.

복잡한 영상신호에서 디스터번스 맵을 이용한 움직이는 물체 자동감지, 획득 및 추적 (Automatic Moving Target Detection, Acquisition and Tracking using Disturbance Map in Complex Image Sequences)

  • 조재수;추길환
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 A
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    • pp.199-202
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    • 2003
  • An effective method is proposed for detecting, acquisition and tracking of a moving object using a disturbance map method in complex image sequences. A significant moving object is detected and tracked within the field of view by computing a modified disturbance map method between an Input image and a temporal average image. This method is very efficient in the serveillance application of digital CCTV and an automatic tracking camera. Experimental results using a real image sequence confirmed that the proposed method can effectively detect and track a significant moving object in complex image sequences.

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커널상관필터를 이용한 소형무인기 추적 (Small UAV tracking using Kernelized Correlation Filter)

  • 선선구;이의혁
    • 한국인터넷방송통신학회논문지
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    • 제20권1호
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    • pp.27-33
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    • 2020
  • 최근 영상 센서를 이용한 물체 탐지 및 추적 기술은 많은 응용분야에서 그 사용이 널리 확대되고 있다. 민수 산업 분야에서 로보틱스, 비디오 감시정찰 및 차량 네비게이션 분야와 같은 영역으로 널리 확대되고 있는 추세이다. 특히, 드론의 사용이 널리 확대되고 있는 현 상황에서 공항, 원자력 발전소 및 중요시설에서는 불법적으로 운용되고 있는 소형무인기를 탐지 및 추적하여 격추시키는 시스템 개발이 매우 중요하다. 최근 영상센서를 활용한 물체 추적 방법으로 이목을 끌고 있는 방법이 학습에 기반을 둔 KCF 방법이다. 그러나 이 방법은 추적 기간이 길어지면 추적 과정에서 표적의 드리프트가 발생하는 문제점이 있다. 비디오 감시정찰 분야에서 표적의 드리프트 문제를 줄이기 위해 우리는 KCF와 적응 임계치설정 및 칼만필터를 적용하여 표적 드리프트 문제를 줄일 수 있는 방법을 제안하였다. 실험을 통해서 실제 무인비행체가 운용되는 실제 환경에서 획득된 흑백 비디오 영상에 제안한 방법과 기존의 KCF 알고리즘을 비교하여 제안한 방법의 우수성을 입증하였다.

Design of Robust Fuzzy-Logic Tracker for Noise and Clutter Contaminated Trajectory based on Kalman Filter

  • Byeongil Kim
    • 한국산업융합학회 논문집
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    • 제27권2_1호
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    • pp.249-256
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    • 2024
  • Traditional methods for monitoring targets rely heavily on probabilistic data association (PDA) or Kalman filtering. However, achieving optimal performance in a densely congested tracking environment proves challenging due to factors such as the complexities of measurement, mathematical simplification, and combined target detection for the tracking association problem. This article analyzes a target tracking problem through the lens of fuzzy logic theory, identifies the fuzzy rules that a fuzzy tracker employs, and designs the tracker utilizing fuzzy rules and Kalman filtering.

A detection scheme of input estimation filter

  • Lee, Hungu;Tahk, Minjea
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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    • pp.496-499
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    • 1995
  • In this paper, a new detection scheme, the detectable maneuver set (DMS) scheme, is proposed by incorporating the trade-off property between target maneuver magnitude and detection time delay. With this new detection scheme, small maneuvers can be effectively detected without enlarging window size. Simulation results show that the proposed DMS scheme gives better tracking performance.

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십자 배열 탐색기에서의 두 대역간 신호 분포 특성을 이용한 반대응 능력 (A Counter-Countermeasure using Signal Distribution Characteristics between Two Bands in a Crossed Array Tracker)

  • 이석한;오정수;서동선;최종수
    • 한국통신학회논문지
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    • 제27권4A호
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    • pp.316-323
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    • 2002
  • 본 논문에서는 표적이 대응 능력을 운용하는 상황에서 효율적인 표적 추적을 위한 십자 배열 탐색기에서의 반대응 능력을 제안하고 있다. 제안된 반대응 능력은 대응 능력과 표적을 분리하기 위해 두개의 검출 대역을 사용하고 신호 분포 특성을 사용한다. 손실된 펄스 신호로 인한 잘못된 표적 위치 검출을 피하기 위해, 제안된 반대응 능력은 이전의 표적 위치를 근거로 현재의 표적 위치를 예측한다. 십자 배열 탐색기에서 제안된 반대응 능력의 성능 평가를 위해, 다양한 조건에서 표적 신호 추출 및 표적 추적에 대한 모의 실험을 수행하였다. 모의 실험 결과들은 제안된 반대응 능력이 대응 능력을 잘 제거하면서 효율적인 표적 추적을 수행하고 있는 것을 보여준다.

위상배열 레이다를 위한 3차원 적응 표본화 빈도 추적 알고리듬의 설계 (Design of a 3-D Adaptive Sampling Rate Tracking Algorithm for a Phased Array Radar)

  • 손건;홍순목
    • 전자공학회논문지B
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    • 제30B권5호
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    • pp.62-72
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    • 1993
  • The phased array antenna has the ability to perform adaptive sampling by directing the radar beam without inertia in any direction. The adaptive sampling capability of the phased array antenna allows each sampling time interval to be varied for each target, depending on the acceleration of each target at any time. In this paper we design a three dimensional adaptive target tracking algorithm for the phased array radar system with a given set of measurement parameters. The tracking algorithm avoids taking unnecessarily frequent samples, while keeping the angular prediction error within a fraction of antenna beamwidth so that the probability of detection will not be degraded during a track updata illuminations. In our algorithm, the target model and the sampling rate are selected depending on the target range and the target maneuver status which is determined by a maneuver level detector. A detailed simulation is conducted to test the validity of our tracking algorithm for target trajectories under various conditions of maneuver.

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