• 제목/요약/키워드: Multiple Matching

검색결과 468건 처리시간 0.029초

다수의 건설인력 위치 추적을 위한 스테레오 비전의 활용 (Simultaneous Tracking of Multiple Construction Workers Using Stereo-Vision)

  • 이용주;박만우
    • 한국BIM학회 논문집
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    • 제7권1호
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    • pp.45-53
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    • 2017
  • Continuous research efforts have been made on acquiring location data on construction sites. As a result, GPS and RFID are increasingly employed on the site to track the location of equipment and materials. However, these systems are based on radio frequency technologies which require attaching tags on every target entity. Implementing the systems incurs time and costs for attaching/detaching/managing the tags or sensors. For this reason, efforts are currently being made to track construction entities using only cameras. Vision-based 3D tracking has been presented in a previous research work in which the location of construction manpower, vehicle, and materials were successfully tracked. However, the proposed system is still in its infancy and yet to be implemented on practical applications for two reasons. First, it does not involve entity matching across two views, and thus cannot be used for tracking multiple entities, simultaneously. Second, the use of a checker board in the camera calibration process entails a focus-related problem when the baseline is long and the target entities are located far from the cameras. This paper proposes a vision-based method to track multiple workers simultaneously. An entity matching procedure is added to acquire the matching pairs of the same entities across two views which is necessary for tracking multiple entities. Also, the proposed method simplified the calibration process by avoiding the use of a checkerboard, making it more adequate to the realistic deployment on construction sites.

다중해상도를 이용한 새로운 3단계 블록정합 알고리즘 (A NTSS of 3 Levels Block Matching Algorithm using Multi-Resolution)

  • 주헌식
    • 정보처리학회논문지B
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    • 제11B권6호
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    • pp.633-644
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    • 2004
  • 본 논문에서는 기존 NTSS 알고리즘을 다중해상도(MR : Multiple Resolution)기법을 이용하여 NTSS-3 레벨 알고리즘으로 제안하였다. 고속 블록정합 알고리즘은 패턴 방식에 따라 속도에 많은 영향을 미치는데 본 논문에서는 기존 NTSS의 패턴 방식과 다른 다중해상도 기법을 이용한 레벨에 따른 블록정합 알고리즘을 제안하였다. 블록 정합알고리즘에서 국부최소화 문제(Local minima problem)로 발생하는 화질 저하를 개선하기 위해 MC(Multiple Candidate)라는 다중후보를 이용하였다. 실험 결과 제안한 기법을 FS와 비교하면 16배의 탐색 속도론 나타내었고 기존 고속 블록 정합 알고리즘인 NTSS 방식에 비교 할 때 PSNR값에 있어서는 0.11-0.12(dB) 화질이 개선되었으며 속도 면에서도 0.1배 향상되었고 탐색점 대비 화질개선이 우수함을 나타내었다.

다중 특징을 이용한 동작정보 측정 (Estimating Motion Information Using Multiple Features)

  • 장석우
    • 한국컴퓨터정보학회논문지
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    • 제10권2호
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    • pp.1-10
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    • 2005
  • 본 논문에서는 연속적인 레인지(range) 영상 자료로부터 동작 벡터를 추출하는 새로운 블록 정합 알고리즘을 제안한다. 본 논문에서 제안된 알고리즘은 단일 특징을 사용하지 않고 다중 특징인 명암값, 색상, 레인지 특징의 세 가지 특징을 통합한 정합 유사 함수를 정의하며, 엔트로피를 이용하여 각 특징의 기여도를 구한 후 이를 가중치의 형태로 정합 유사 함수에 적용한다. 그리고 제안된 알고리즘은 고정된 블록 템플릿을 사용하지 않고 가변적인 크기의 블록 템플릿을 사용한다. 제안한 블록 정합에서는 먼저 작은 정합 템플릿으로 블록 정합을 시작한다. 만일 정합 정도가 좋지 않으면 정합 템플릿의 크기를 조금 확장한 후 본 논문에서 정의한 정합기준이 만족하거나 사전에 정의된 최대 블록 크기에 도달할 때까지 블록정합을 반복한다. 실험에서는 본 논문에서 제안한 블록 정합 알고리즘과 기존의 다른 알고리즘의 성능을 비교 분석하여 제안한 알고리즘의 우수함을 보인다.

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재비교기를 이용한 PLC용 Dataflow LSP구조에 관한 연구 (A Study on the Architecture of Dataflow LSP using Re-matching Unit)

  • 박재현;장래혁;권욱현
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1991년도 하계학술대회 논문집
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    • pp.877-880
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    • 1991
  • In this paper, the architecture of a dataflow logic solving processor for programmable logic controller is proposed. As the proposed DFLSP(dataflow logic solving processor) is designed based on the dataflow architecture, it has inherently concurrent processing and data synchronization capabilities. And also, it has dynamic load balancing capabilites which increases the utilization of the whole system that can he hardly implemented in other multiprocessor system. The re-matching unit gets rid of unnecessary matching cycles in LSU, which increases the performance of LSU and allows the multiple input multiple output operations.

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Massive MIMO Channel Estimation Algorithm Based on Weighted Compressed Sensing

  • Lv, Zhiguo;Wang, Weijing
    • Journal of Information Processing Systems
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    • 제17권6호
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    • pp.1083-1096
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    • 2021
  • Compressed sensing-based matching pursuit algorithms can estimate the sparse channel of massive multiple input multiple-output systems with short pilot sequences. Although they have the advantages of low computational complexity and low pilot overhead, their accuracy remains insufficient. Simply multiplying the weight value and the estimated channel obtained in different iterations can only improve the accuracy of channel estimation under conditions of low signal-to-noise ratio (SNR), whereas it degrades accuracy under conditions of high SNR. To address this issue, an improved weighted matching pursuit algorithm is proposed, which obtains a suitable weight value uop by training the channel data. The step of the weight value increasing with successive iterations is calculated according to the sparsity of the channel and uop. Adjusting the weight value adaptively over the iterations can further improve the accuracy of estimation. The results of simulations conducted to evaluate the proposed algorithm show that it exhibits improved performance in terms of accuracy compared to previous methods under conditions of both high and low SNR.

Environmental Survey Data Analysis by Data Fusion Techniques

  • Cho, Kwang-Hyun;Park, Hee-Chang
    • Journal of the Korean Data and Information Science Society
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    • 제17권4호
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    • pp.1201-1208
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    • 2006
  • Data fusion is generally defined as the use of techniques that combine data from multiple sources and gather that information in order to achieve inferences. Data fusion is also called data combination or data matching. Data fusion is divided in five branch types which are exact matching, judgemental matching, probability matching, statistical matching, and data linking. Currently, Gyeongnam province is executing the social survey every year with the provincials. But, they have the limit of the analysis as execute the different survey to 3 year cycles. In this paper, we study to data fusion of environmental survey data using sas macro. We can use data fusion outputs in environmental preservation and environmental improvement.

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Environmental Survey Data Analysis by Data Fusion Technique

  • 조광현;박희창
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2006년도 추계 학술발표회 논문집
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    • pp.21-27
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    • 2006
  • Data fusion is generally defined as the use of techniques that combine data from multiple sources and gather that information in order to achieve inferences. Data fusion is also called data combination or data matching. Data fusion is divided in five branch types which are exact matching, judgemental matching, probability matching, statistical matching, and data linking. Currently, Gyeongnam province is executing the social survey every year with the provincials. But, they have the limit of the analysis as execute the different survey to 3 year cycles. In this paper, we study to data fusion of environmental survey data using sas macro. We can use data fusion outputs in environmental preservation and environmental improvement.

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Matching game based resource allocation algorithm for energy-harvesting small cells network with NOMA

  • Wang, Xueting;Zhu, Qi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권11호
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    • pp.5203-5217
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    • 2018
  • In order to increase the capacity and improve the spectrum efficiency of wireless communication systems, this paper proposes a rate-based two-sided many-to-one matching game algorithm for energy-harvesting small cells with non-orthogonal multiple access (NOMA) in heterogeneous cellular networks (HCN). First, we use a heuristic clustering based channel allocation algorithm to assign channels to small cells and manage the interference. Then, aiming at addressing the user access problem, this issue is modeled as a many-to-one matching game with the rate as its utility. Finally, considering externality in the matching game, we propose an algorithm that involves swap-matchings to find the optimal matching and to prove its stability. Simulation results show that this algorithm outperforms the comparing algorithm in efficiency and rate, in addition to improving the spectrum efficiency.

다중 Kompsat-2 영상으로부터 생성된 DEM 정확도 분석 (DEM Generation and Accuracy Comparison from Multiple Kompsat-2 Images)

  • 이수암;정재훈;이태윤;김태정
    • 대한원격탐사학회지
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    • 제27권1호
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    • pp.51-58
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    • 2011
  • 원격탐사 위성 영상의 발전으로 인해 위성에서 취득된 영상을 이용하여 DEM을 제작하는 연구가 계속 진행되고 있다. 본 논문에서는 2개 이상의 Kompsat-2 영상을 이용하여 이를 이용하여 DEM을 제작한다. DEM의 제작에 앞서 궤도-자세각 모델과 RFM 모델을 사용하여 두 장의 영상과 다중 영상에 센서모델을 수립한 경우 3차원 위치결정 정확도 비교를 수행하였다. 또한 수립된 센서모델을 이용하여 객체공간 기반의 영상정합을 수행하였으며, 제작된 DEM을 통해 사용된 영상의 개수에 따른 분석 및 센서 모델별 정확도를 판단했다. 수행결과 다중영상을 사용하여 센서모델을 한 경우 더 높은 위치 정확도가 나왔음을 확인할 수 있었다. 또한 다중영상을 사용하여 제작된 DEM이 스테레오영상을 사용한 것 보다 더 높은 정확도를 가지며, 육안으로 판단할 경우에도 큰 오차들이 줄어 더 좋은 결과를 보여줌을 확인할 수 있었다.

Improved Blind Multipath Estimation for Long Code DS-CDMA

  • Yu Qian;Bi Guoan;Zhang Gaonan
    • Journal of Communications and Networks
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    • 제7권3호
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    • pp.278-283
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    • 2005
  • This paper proposes a blind channel estimation scheme for long code direct sequence code division multiple access (DS­CDMA) systems with multipath fading channels. This scheme combines the advantages of Toeplitz displacement and correlation matching methods to achieve improved performance. The basic idea is to remove the effects of noise and interferences with Toeplitz displacement operation and then estimate the multi path channel parameters with the correlation matching method. Simulation results are presented to show that the proposed scheme provides better MSE performance and robustness against the near-far problem.