• 제목/요약/키워드: Multi Tracking

검색결과 840건 처리시간 0.022초

모바일 환경 신뢰도 평가 학습에 의한 다중 객체 추적 (Multi-Object Tracking based on Reliability Assessment of Learning in Mobile Environment)

  • 한우리;김영섭;이용환
    • 반도체디스플레이기술학회지
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    • 제14권3호
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    • pp.73-77
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    • 2015
  • This paper proposes an object tracking system according to reliability assessment of learning in mobile environments. The proposed system is based on markerless tracking, and there are four modules which are recognition, tracking, detecting and learning module. Recognition module detects and identifies an object to be matched on current frame correspond to the database using LSH through SURF, and then this module generates a standard object information that has the best reliability of learning. The standard object information is used for evaluating and learning the object that is successful tracking in tracking module. Detecting module finds out the object based on having the best possible knowledge available among the learned objects information, when the system fails to track. The experimental results show that the proposed system is able to recognize and track the reliable objects with reliability assessment of learning for the use of mobile platform.

Design of SDR-based Multi-Constellation Multi-Frequency GNSS Signal Acquisition/Tracking Module

  • Yoo, Won Jae;Kim, Lawoo;Lee, Yu Dam;Lee, Taek Geun;Lee, Hyung Keun
    • Journal of Positioning, Navigation, and Timing
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    • 제10권1호
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    • pp.1-12
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    • 2021
  • Due to the Global Navigation Satellite System (GNSS) modernization, the recently launched GNSS satellites transmit signals at various frequency bands of L1, L2 and L5. Considering the Korea Positioning System (KPS) signal and other GNSS augmentation signals in the future, there is a high probability of applying more complex communication techniques to the new GNSS signals. For the reason, GNSS receivers based on flexible Software Defined Radio (SDR) concept needs to be developed to evaluate various experimental communication techniques by accessing each signal processing module in detail. In this paper, we introduce a multi-constellation (GPS/Galileo/BeiDou) multi-band (L1/L2/L5) SDR by utilizing Ettus USRP N210. The signal reception module of the developed SDR includes down-conversion, analog-to-digital conversion, signal acquisition, and tracking. The down-conversion module is designed based on the super-heterodyne method fitted for MHz sampling. The signal acquisition module performs PRN code generation and FFT operation and the signal tracking module implements delay/phase/frequency locked loops only by software. In general, it is difficult to sample entire main lobe components of L5 band signals due to their higher chipping rate compared with L1 and L2 band signals. Experiment result shows that it is possible to acquire and track the under-sampled signals by the developed SDR.

실시간 순환 신경망 기반의 멀티빔 소나 이미지를 이용한 수중 물체의 추적에 관한 연구 (Study on Underwater Object Tracking Based on Real-Time Recurrent Regression Networks Using Multi-beam Sonar Images)

  • 이언호;이영준;최진우;이세진
    • 로봇학회논문지
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    • 제15권1호
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    • pp.8-15
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    • 2020
  • This research is a case study of underwater object tracking based on real-time recurrent regression networks (Re3). Re3 has the concept of generic object tracking. Because of these characteristics, it is very effective to apply this model to unclear underwater sonar images. The model also an pursues object tracking method, thus it solves the problem of calculating load that may be limited when object detection models are used, unlike the tracking models. The model is also highly intuitive, so it has excellent continuity of tracking even if the object being tracked temporarily becomes partially occluded or faded. There are 4 types of the dataset using multi-beam sonar images: including (a) dummy object floated at the testbed; (b) dummy object settled at the bottom of the sea; (c) tire object settled at the bottom of the testbed; (d) multi-objects settled at the bottom of the testbed. For this study, the experiments were conducted to obtain underwater sonar images from the sea and underwater testbed, and the validity of using noisy underwater sonar images was tested to be able to track objects robustly.

적외선 영상에서 다수표적추적을 위한 LM-IHPDA 알고리듬 연구 (A Study of LM-IHPDA Algorithm for Multi-Target Tracking in Infrared Image Sequences)

  • 김태한;최병인;김지은;양유경;송택렬
    • 제어로봇시스템학회논문지
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    • 제19권3호
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    • pp.209-218
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    • 2013
  • Military surveillance systems with electro-optical sensors can be used to track a number of targets efficiently and reliably. In MTT (Multi-Target Tracking), joint events in which different tracks share the same measurements may occur. Measurement-to-track assignment are computationally challenging because of the number of operations increases exponentially with number of tracks and number of measurements. IHPDA (Integrated Highest Probability Data Association) based on a 2D-Assignment technique can find an optimal solution for measurement to track one-to-one assignments for complex environments. In this paper, LM-IHPDA (Linear Multi-Target IHPDA) which does not need to form all feasible joint events of association and thus the computational load is linear in the number of tracks and the number of measurements. Simulation studies illustrate the effectiveness of this approach in an infrared image environment.

실외 경비 환경에서 강인한 객체 검출 및 추적을 위한 실외 멀티 모달 센서 기반 학습용 데이터베이스 구축 (Multi Modal Sensor Training Dataset for the Robust Object Detection and Tracking in Outdoor Surveillance (MMO (Multi Modal Outdoor) Dataset))

  • 노동기;양원근;엄태영;이재광;김형록;백승민
    • 한국멀티미디어학회논문지
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    • 제23권8호
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    • pp.1006-1018
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    • 2020
  • Dataset is getting more import to develop a learning based algorithm. Quality of the algorithm definitely depends on dataset. So we introduce new dataset over 200 thousands images which are fully labeled multi modal sensor data. Proposed dataset was designed and constructed for researchers who want to develop detection, tracking, and action classification in outdoor environment for surveillance scenarios. The dataset includes various images and multi modal sensor data under different weather and lighting condition. Therefor, we hope it will be very helpful to develop more robust algorithm for systems equipped with difference kinds of sensors in outdoor application. Case studies with the proposed dataset are also discussed in this paper.

고속 도플러 편이 환경에서 최적 시간지연을 갖는 다중모드 모노펄스 신호처리에 관한 연구 (Study on Multi-Mode Monopulse Signal Processing System Providing Optimal Time Delay under High Doppler Condition)

  • 이재문;임재성;안희수
    • 한국군사과학기술학회지
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    • 제19권5호
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    • pp.582-589
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    • 2016
  • Multi-mode monopulse system is widely used for satellite terminal like UAV because of high tracking accuracy and low size/weight profile. In order to calculate tracking error, Multi-mode monopulse system utilizes high-order mode signal, and it should have enough C/N(carrier to noise) level therefore tracking system needs narrow band filtering of received satellite beacon signal as much as possible. However, UAV suffers for beacon frequency drift derived from Doppler effect due to satellite figure 8 movement and UAV maneuvering. Therefore wideband signal processing needs to be considered in advance for exact doppler compensation and consequent time delay. In this paper, we propose the multi-stage Digital Signal processing system for beacon signal, which could minimize the signal delay under high Doppler and low C/N condition.

축소 차수 외란 관측기를 이용한 이종 다개체 시스템의 협조 추종 제어 (Reduced-order Disturbance Observer based Coordinated Tracking of Uncertain Heterogeneous Multi-Agent Systems)

  • 김정수;백주훈
    • 제어로봇시스템학회논문지
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    • 제20권12호
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    • pp.1231-1237
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    • 2014
  • 본 논문에서는 축소 차수 외란 관측기를 이용하여 외란이 있는 이종 다개체 시스템을 위한 협조 추종 제어기를 제안하였다. 이를 위해 우선 주어진 제어 문제가 외란과 모델 불확실성을 가지는 시스템을 위한 강인 제어 문제로 변환 될 수 있음을 보이고 변환된 문제에 외란 관측기 기반의 동적 협조 추종 제어기를 설계하였다. 모의 실험을 통해서 제안하는 이종 다개체 시스템의 협조 추종을 성공적으로 달성함을 보였다.

이산시간 퍼지 다개체 시스템의 상태일치 기반 대형 추종 제어기 (Consensus-Based Formation Tracking of Fuzzy Multi-Agent Systems)

  • 문지현;지성철;이호재
    • 전기학회논문지
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    • 제63권8호
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    • pp.1080-1084
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    • 2014
  • This paper addresses a design technique for formation tracking controllers of discrete-time Takagi-Sugeno fuzzy multi-agent systems based on consensus. The interconnection topology among the agents is expressed as a digraph. The design condition is represented in terms of linear matrix inequalities. Numerical example demonstrates the effectiveness of the proposed method.

비디오 영상내의 사람 추적을 위한 강인한 멀티-파트 추적 방법 (A Robust Multi-part Tracking of Humans in the Video Sequence)

  • 김태현;김진율
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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    • pp.2088-2091
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    • 2003
  • We presents a new algorithm for tracking person in video sequence that integrates the meanshift iteration procedure into the particle filtering. Utilizing the nice property of convergence to the modes in the meanshift iteration we show that only a few sample points are sufficient, while in general the particle filtering requires a large number of sample points. Multi-parts of a person is tracked independently of each other based on the color Then, the similarity against the reference model color and the geometric constraints between multi-parts are reflected as the sample weights. Also presented is the computer simulation results, which show successful tracking even for complex background clutter.

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다축 CNC 시스템의 통합형 제어기 설계 (Integrated Controller Design for Multi-Axis CNC Systems)

  • 이학철;지성철
    • 한국정밀공학회지
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    • 제23권5호
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    • pp.93-102
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    • 2006
  • This paper proposes a controller design analysis for three-axis CNC systems considering both contouring and tracking performance. The proposed analysis inclusively combines axial controllers for each individual feed drive system together with cross-coupling controller at the beginning design stage as an integrated manner. These two controllers used to be separately designed and analyzed since they have different control objectives. The proposed scheme includes a stability analysis for the overall control system and a performance analysis in terms of contouring and tracking accuracy. Computer simulation is performed and the results show the validity of the proposed methodology. Further, the results can be used as a basic guideline in systematic and comprehensive controller design for multi-axis CNC systems.