• Title/Summary/Keyword: 경로 매칭

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Map Matching Algorithm Using Continuous GPS Coordinates (연속 GPS좌표를 이용한 지도 매칭 알고리즘)

  • Park, Do-Young;WhangBo, Taeg-Keun
    • Journal of Korea Spatial Information System Society
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    • v.4 no.1 s.7
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    • pp.27-37
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    • 2002
  • Ideas providing an optimal car route using current traffic condition, maintaining the current location and the history of driven route of a car in the main central office, in where GPS signals transmitted from the driving cars are received, have been proposed. Since GPS signals occurred in certain time interval instead of all GPS signals are transmitted from the car due to the cost of transmission, an algorithm that is able to recover the missing GPS signals is required. In this paper, an efficient algorithm, which finds the driven route and the current location of a car fast, is proposed. To verify the efficiency of the proposed algorithm, it is applied to the various real GIS map and it turns out to be very effective.

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Pattern matching Using Correlation In Fourier Domain (푸리에영역에서의 상관을 이용한 패턴매칭)

  • 이충호;이원경;김응규
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.10d
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    • pp.499-501
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    • 2002
  • 본 논문은 푸리에영역에서 상관을 계산하기 위한 합성화상을 이용하여 에러가 포함된 화상의 패턴매칭 및 검증에 유효한 새로운 패턴매칭 알고리즘을 제안한다. 두개의 화상을 푸리에변환하여 합성화상을 계산하면 원화상의 중요한 성질은 푸리에영역에서 만들어진 합성화상의 중심부분에 집중된다는 데 착안하여 푸리에공간에 나타난 화상의 중심부분만을 추출하여 비교함으로써 화상의 동일여부에 관한 검증이 보다 단순하게 이루어질 수 있음을 보인다. 또한 원화상에 잡음이 포함된 경우에 푸리에변환의 공간에서 잡음이 중심 부분에서 먼 곳에 분포되는 것에 착안하여 잡음이 포함된 화상과 원화상의 매칭에도 유효함을 보인다. 실험을 통하여 10개의 표준화상과 가우시안잡음이 첨가된 화상을 사용하여 화상을 구분해 내고, 잡음이 있는 화상은 동일한 화상으로 인식함을 보인다. 실험결과는 합성화상의 중심부분에 존재하는 전체의 0.5%의 화소만을 비교함으로써 패턴인식이 가능함을 보여준다.

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Evaluating an Influence of Individual Citation Field on Citation Matching (개별 인용 필드의 인용 매칭에 대한 영향력 평가)

  • Koo, HeeKwan;Kang, In-Su;Jung, Hanmin;Lee, Seung-Woo;Sung, Won-Kyung
    • Proceedings of the Korea Contents Association Conference
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    • 2007.11a
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    • pp.414-417
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    • 2007
  • Citation matching (CM) is a method for clustering citation records that refer to the same paper. Normally, CM is preceded by citation field segmentation (CFS) which divides a citation record into its fields such as author(s), a title, a title of publication, year, etc. Although many studies have attacked CFS and CM, the relationship between CFS and CM was not sufficiently explored. Among many aspects of the effect of CFS on CM, this study concentrates on what citation fields should identify for CM. As its first attempt, we compared CM performances over different sets of citation fields manually segmented, and confirmed that the use of more citation fields help CM to cluster citation records better.

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Influence of Normalization and Types of Citation Fields on Citation Matching (인용 필드 정규화와 타입이 인용매칭에 미치는 영향)

  • Koo, Hee-Kwan;Jung, Han-Min;Sung, Won-Kyung
    • The Journal of the Korea Contents Association
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    • v.8 no.11
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    • pp.395-403
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    • 2008
  • In this paper, we present the analysis of the fact that normalization and types of citation fields have an effect to the citation matching. Citation matching indicates the series of grouping process for the citation records referring to the same paper. The citation matching combines the comparison results of citation fields, and determines which citation records are the same. For the citation field comparison in the citation matching phase, studies on the normalization and types of citation fields are needed. But they are relatively insufficient when compared with the studies on citation matching methods. In this research, we showed that the citation matching performance was affected by the normalization and types of citation fields. Additionally, we also analyzed the combination of normalized multiple fields. According to the experimental result, the citation field had the overall performance improvement through a normalization, and the performance mode differently showed up at the citation field type.

Multipath Matching pursuit (다중 경로 매칭 퍼슛 알고리듬)

  • Lim, Chae-Hee;Kwon, Seok-Beop;Shim, Byong-Hyo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2012.11a
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    • pp.114-116
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    • 2012
  • Sparse한 신호 복원 방법으로 underdetermined system에서 greed 알고리듬은 간결함과 낮은 복잡도로 인해 활발히 연구되고 있다. 이에 본 논문은 기존 greed 알고리듬 기법에서 iteration 마다 다중 경로를 이용하여 스파스 신호를 복원하는 개선된 알고리듬을 제안한다. 모의 실험을 통해 제안된 알고리듬이 기존의 greedy 알고리듬보다 좋은 복원 성능을 가짐을 확인할 수 있다.

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A Hangul Script Matching Algorithm for PDA (PDA상에서의 한글 필기체 매칭 알고리즘)

  • Cho, Mi-Gyung;Cho, Hwan-Gue
    • Journal of KIISE:Software and Applications
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    • v.29 no.10
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    • pp.684-693
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    • 2002
  • Electronic Ink is a stored data in the form of the handwritten text or the script without converting it into ASCII by handwritten recognition on the pen-based computers and Personal Digital Assistants(PDAs) for supporting natural and convenient data input. One of the most Important issue is to search the electronic ink in order to use it. We proposed and implemented a script matching algorithm for the electronic ink. Proposed matching algorithm separated the input stroke into a set of primitive stroke using the curvature of the stroke curve. After determining the type of separated strokes, it produced a stroke feature vector. And then it calculated the distance between the stroke feature vector of input strokes and one of strokes in the database using the dynamic programming technique. We did various experiments and our algorithm showed high matching rate over 97.7% for only the Korean script and 94% for the data mixed Korean with the Chinese character.

Timeline synchronization of video clips based on image matching (이미지 매칭 기반 동영상간 시간축 동기화 기법)

  • Ko, Myung-Jun;Yoon, Kyoungro
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2016.11a
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    • pp.144-145
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    • 2016
  • 디지털 컨텐츠는 UHD, 3D, 파노라마 영상 등 다양한 형태로 발전되고 있다. 그 중 파노라마 영상은 여러 영상을 정합하여 넓은 시야각을 제공하는 컨텐츠로 전문적인 기술자들을 중심으로 제작되고 있다. 또한 디지털 컨텐츠의 제작자는 전문가에서 일반인으로까지 범위가 확장되었고, 발전된 형태의 컨텐츠를 일반인이 스마트폰 등의 개인 단말로 손쉽게 제작할 수 있도록 해주는 컨텐츠 생성 기술이 발달되고 있다. 이에 본 논문에서는 일반 사용자들이 각각의 스마트폰 단말로 촬영한 여러 동영상들을 하나의 파노라마 영상으로 제작하기위한 기술 중, 각기 다른 스마트폰의 시간축을 이미지 매칭을 통해 하나의 통일된 시간축으로 동기화 시키는 기법에 관하여 연구하였다. 이를 위해, 본 논문에서는 동영상에서 시간정보로 이용하기 위한 오브젝트의 움직임이 포함된 시퀀스를 찾는 방법과 해당 시퀀스를 이용하여 다른 동영상과의 이미지 매칭으로 시간축을 동기화 시키는 방법을 제안한다.

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Performance Analysis of Automatic Target Recognition Using Simulated SAR Image (표적 SAR 시뮬레이션 영상을 이용한 식별 성능 분석)

  • Lee, Sumi;Lee, Yun-Kyung;Kim, Sang-Wan
    • Korean Journal of Remote Sensing
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    • v.38 no.3
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    • pp.283-298
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    • 2022
  • As Synthetic Aperture Radar (SAR) image can be acquired regardless of the weather and day or night, it is highly recommended to be used for Automatic Target Recognition (ATR) in the fields of surveillance, reconnaissance, and national security. However, there are some limitations in terms of cost and operation to build various and vast amounts of target images for the SAR-ATR system. Recently, interest in the development of an ATR system based on simulated SAR images using a target model is increasing. Attributed Scattering Center (ASC) matching and template matching mainly used in SAR-ATR are applied to target classification. The method based on ASC matching was developed by World View Vector (WVV) feature reconstruction and Weighted Bipartite Graph Matching (WBGM). The template matching was carried out by calculating the correlation coefficient between two simulated images reconstructed with adjacent points to each other. For the performance analysis of the two proposed methods, the Synthetic and Measured Paired Labeled Experiment (SAMPLE) dataset was used, which has been recently published by the U.S. Defense Advanced Research Projects Agency (DARPA). We conducted experiments under standard operating conditions, partial target occlusion, and random occlusion. The performance of the ASC matching is generally superior to that of the template matching. Under the standard operating condition, the average recognition rate of the ASC matching is 85.1%, and the rate of the template matching is 74.4%. Also, the ASC matching has less performance variation across 10 targets. The ASC matching performed about 10% higher than the template matching according to the amount of target partial occlusion, and even with 60% random occlusion, the recognition rate was 73.4%.

A Filtering Technique of Streaming XML Data based Postfix Sharing for Partial matching Path Queries (부분매칭 경로질의를 위한 포스트픽스 공유에 기반한 스트리밍 XML 데이타 필터링 기법)

  • Park Seog;Kim Young-Soo
    • Journal of KIISE:Databases
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    • v.33 no.1
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    • pp.138-149
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    • 2006
  • As the environment with sensor network and ubiquitous computing is emerged, there are many demands of handling continuous, fast data such as streaming data. As work about streaming data has begun, work about management of streaming data in Publish-Subscribe system is started. The recent emergence of XML as a standard for information exchange on Internet has led to more interest in Publish - Subscribe system. A filtering technique of streaming XML data in the existing Publish- Subscribe system is using some schemes based on automata and YFilter, which is one of filtering techniques, is very popular. YFilter exploits commonality among path queries by sharing the common prefixes of the paths so that they are processed at most one and that is using the top-down approach. However, because partial matching path queries interrupt the common prefix sharing and don't calculate from root, throughput of YFilter decreases. So we use sharing of commonality among path queries with the common postfixes of the paths and use the bottom-up approach instead of the top-down approach. This filtering technique is called as PoSFilter. And we verify this technique through comparing with YFilter about throughput.

A System to Recognize Position of Moving Vehicle based on Images (영상을 이용한 차량의 주행 위치 측정 시스템)

  • Kim, Jin-Deog;Moon, Hye-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.12
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    • pp.2619-2625
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    • 2011
  • The GPS technique widely used recently in car navigation system has two problems that are unavailability in urban canyons and inherent positional error rate. The one has been studied and solved in many literatures. However, the other still leads to incorrect locational information in some area, especially parallel roads. This paper proposes and implements a system to recognize lane of moving vehicle based on images obtained from in-vehicle networks or other devices. The proposed system utilizes a real-time image matching algorithm which determines the direction of moving vehicle in parallel section of road. It also employs a method for accuracy improvement. The results obtained from experimental test on real-time navigation show that the proposed systems works well and the accuracy increases.