• 제목/요약/키워드: Target extraction

검색결과 521건 처리시간 0.027초

Extraction of Infrared Target based on Gaussian Mixture Model

  • Shin, Do Kyung;Moon, Young Shik
    • IEIE Transactions on Smart Processing and Computing
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    • 제2권6호
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    • pp.332-338
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    • 2013
  • We propose a method for target detection in Infrared images. In order to effectively detect a target region from an image with noises and clutters, spatial information of the target is first considered by analyzing pixel distributions of projections in horizontal and vertical directions. These distributions are represented as Gaussian distributions, and Gaussian Mixture Model is created from these distributions in order to find thresholding points of the target region. Through analyzing the calculated Gaussian Mixture Model, the target region is detected by eliminating various backgrounds such as noises and clutters. This is performed by using a novel thresholding method which can effectively detect the target region. As experimental results, the proposed method has achieved better performance than existing methods.

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레이다 표적 인식에서 표적에 대한 2차원 산란점 추출 및 ISAR 영상 형성에 대한 성능 개선 (Performance Improvement for 2-D Scattering Center Extraction and ISAR Image Formation for a Target in Radar Target Recognition)

  • 신승용;임호;명로훈
    • 한국전자파학회논문지
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    • 제18권8호
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    • pp.984-996
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    • 2007
  • 본 논문에서는 표적에 의해서 산란된 산란파에 대한 2차원 산란점 추출 및 2차원 ISAR(Inverse SAR) 영상 형성에 대해서 기술하였다. 표적 에 대 한 2차원 산란점과 ISAR 영상을 획득하는 방법에는 일반적으로 2-D IFFT(Inverse Fast Fourier Transform)가 널리 사용되고 있다. 그러나 이는 영상의 해상도 면에서 질이 떨이진다는 단점이 있다. 이러한 퓨리에 변환을 바탕으로 한 방법의 단점을 보완하기 위해서 여러 가지 고해상도 신호처리의 방법이 개발되어 왔다. 본 논문에서는 2차원 산란점 추출 및 ISAR 영상을 형성하기 위해서 2-D MEMP 알고리즘과 2-D ESPRIT 알고리즘에 대해서 기술하고 있다. 이러한 각 알고리즘에 대한 성능을 나타내기 위해서 이상적인 점 산란체와 F-18 전투기에 대한 산란파를 이용하여 2차원 산란점을 예측하고 2차원 ISAR 영상을 획득하였다.

지상레이다의 PT-파형 수신신호와 항공기 추적정보를 이용한 항공기 도플러 프로파일 추출 (Doppler Profile Extraction to Air-Breathing Targets with PT-Waveform Received Signal and Target Tracking Information on a Ground Radar)

  • 오현석;김수근
    • 한국전자파학회논문지
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    • 제28권2호
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    • pp.129-138
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    • 2017
  • 본 논문에서는 지상레이다가 추적 중인 항공기로부터 획득한 수신신호를 이용하여 도플러 형상(signature)을 추출하였다. 이를 위해 펄스열(pulse train) 파형의 수학적 모델로부터 레이다의 도플러 해상도를 검증하고, 비행 중인 항공기 도플러 형상이 엔진에 대한 레이다 측각(aspect angle)과 엔진의 제원에 따라 결정됨을 보였다. 이를 확인하기 위해 비행 중인 항공기에서 반사된 레이다 수신신호를 레이다 수신신호 저장장치를 이용하여 획득하고, 수신신호로부터 도플러 형상을 추출한 후, 항공기 추적 정보로부터 엔진에 대한 레이다 측각을 추정하였다. 이들 결과를 조합하여 측각에 대한 상대 도플러 형상 차이를 확인하고, 레이다에 사용가능한 표적인식용 도플러 프로파일을 제안하였다.

Implementation of 3D Moving Target-Tracking System based on MSE and BPEJTC Algorithms

  • Ko, Jung-Hwan;Lee, Maeng-Ho;Kim, Eun-Soo
    • Journal of Information Display
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    • 제5권1호
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    • pp.41-46
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    • 2004
  • In this paper, a new stereo 3D moving-target tracking system using the MSE (mean square error) and BPEJTC (binary phase extraction joint transform correlator) algorithms is proposed. A moving target is extracted from the sequential input stereo image by applying a region-based MSE algorithm following which, the location coordinates of a moving target in each frame are obtained through correlation between the extracted target image and the input stereo image by using the BPEJTC algorithm. Through several experiments performed with 20 frames of the stereo image pair with $640{\times}480$ pixels, we confirmed that the proposed system is capable of tracking a moving target at a relatively low error ratio of 1.29 % on average at real time.

능동소나 표적 인식을 위한 신호합성 및 특징추출 (Signal Synthesis and Feature Extraction for Active Sonar Target Classification)

  • 어윤;석종원
    • 한국멀티미디어학회논문지
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    • 제18권1호
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    • pp.9-16
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    • 2015
  • Various approaches to process active sonar signals are under study, but there are many problems to be considered. The sonar signals are distorted by the underwater environment, and the spatio-temporal and spectral characteristics of active sonar signals change in accordance with the aspect of the target even though they come from the same one. And it has difficulties in collecting actual underwater data. In this paper, we synthesized active target echoes based on ray tracing algorithm using target model having 3-dimensional highlight distribution. Then, Fractional Fourier transform was applied to synthesized target echoes to extract feature vector. Recognition experiment was performed using probabilistic neural network classifier.

Depth tracking of occluded ships based on SIFT feature matching

  • Yadong Liu;Yuesheng Liu;Ziyang Zhong;Yang Chen;Jinfeng Xia;Yunjie Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권4호
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    • pp.1066-1079
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    • 2023
  • Multi-target tracking based on the detector is a very hot and important research topic in target tracking. It mainly includes two closely related processes, namely target detection and target tracking. Where target detection is responsible for detecting the exact position of the target, while target tracking monitors the temporal and spatial changes of the target. With the improvement of the detector, the tracking performance has reached a new level. The problem that always exists in the research of target tracking is the problem that occurs again after the target is occluded during tracking. Based on this question, this paper proposes a DeepSORT model based on SIFT features to improve ship tracking. Unlike previous feature extraction networks, SIFT algorithm does not require the characteristics of pre-training learning objectives and can be used in ship tracking quickly. At the same time, we improve and test the matching method of our model to find a balance between tracking accuracy and tracking speed. Experiments show that the model can get more ideal results.

자동 목표물 인식 시스템을 위한 클러스터 기반 투영기법과 혼합 전문가 구조 (Cluster-based Linear Projection and %ixture of Experts Model for ATR System)

  • 신호철;최재철;이진성;조주현;김성대
    • 대한전자공학회논문지SP
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    • 제40권3호
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    • pp.203-216
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    • 2003
  • In this paper a new feature extraction and target classification method is proposed for the recognition part of FLIR(Forwar Looking Infrared)-image-based ATR system. Proposed feature extraction method is "cluster(=set of classes)-based"version of previous fisherfaces method that is known by its robustness to illumination changes in face recognition. Expecially introduced class clustering and cluster-based projection method maximizes the performance of fisherfaces method. Proposed target image classification method is based on the mixture of experts model which consists of RBF-type experts and MLP-type gating networks. Mixture of experts model is well-suited with ATR system because it should recognizee various targets in complexed feature space by variously mixed conditions. In proposed classification method, one expert takes charge of one cluster and the separated structure with experts reduces the complexity of feature space and achieves more accurate local discrimination between classes. Proposed feature extraction and classification method showed distinguished performances in recognition test with customized. FLIR-vehicle-image database. Expecially robustness to pixelwise sensor noise and un-wanted intensity variations was verified by simulation.

표적 개수 추정 및 근접 채프 탐지를 위한 고해상도 거리 프로파일을 이용한 움직임 미분 기반 엔트로피 특징 추출 기법 (Motion Derivatives based Entropy Feature Extraction Using High-Range Resolution Profiles for Estimating the Number of Targets and Seduction Chaff Detection)

  • 이정원;최각규;나경일
    • 한국군사과학기술학회지
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    • 제22권2호
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    • pp.207-214
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    • 2019
  • This paper proposes a new feature extraction method for automatically estimating the number of target and detecting the chaff using high range resolution profile(HRRP). Feature of one-dimensional range profile is expected to be limited or missing due to lack of information according to the time. The proposed method considers the dynamic movements of targets depending on the radial velocity. The observed HRRP sequence is used to construct a time-range distribution matrix, then assuming diverse radial velocities reflect the number of target and seduction chaff launch, the proposed method utilizes the characteristic of the gradient distribution on the time-range distribution matrix image, which is validated by electromagnetic computation data and dynamic simulation.

BPEJTC를 이용한 다중표적 추적시스템의 하드웨어 구현 (hardware implementation of multi-target tracking system based on binary phase extraction JTC)

  • 이승현;이상이;류충상;차광훈;서춘원;김은수
    • 전자공학회논문지A
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    • 제33A권10호
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    • pp.152-159
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    • 1996
  • We have designed and implemented an optoelectronic hardware of binary phase extraction joint transform correlator (BPEJTC) which provides higher peak-to-sidelobe ratio than many other versions of JTC that has been published so far and does not produce correlation peaks due to intra-class association, to construct a multi-target tracking system. The digital processing unit controlling the entire system plays the part of modifying and binarizing the joint transform power spectrum (JTPS) and the optical processing unit is mainly used to take fourier transform operations. Some experimental results conducted by designed system along with its architecture showed the processing rate of 6 frames per second, thereby the potential applicability of the proposed system to real-time multitarget tracking system is given.

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항공사진측량용 타겟을 이용한 수치도화 및 지적경계 추출에 관한 연구 (A Study on Digital Drawing and Boundary Extraction Using Targets in Aerial Photogrammetry)

  • 윤부열
    • 한국산업융합학회 논문집
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    • 제25권6_2호
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    • pp.969-977
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    • 2022
  • Currently, in Korea, aerial photogrammetry is being studied for cadastral boundaries and numerical maps. Since the announced value of cadastral survey is closely related to ownership, the accuracy and reliability of the published value should be emphasized above all else. However, although aerial photogrammetry has great advantages in economic feasibility and surveying efficiency, it has many limitations when extracting the boundary of cadastral survey based on the acquired image. In order to improve these limitations, in this study, an aerial target was applied to obtain reliability improvement. Therefore, in order to examine the usefulness of aerial photogrammetry for cadastral survey application, cadastral boundary extraction and accuracy comparison analysis were conducted.