• 제목/요약/키워드: Fast Search Algorithm

검색결과 530건 처리시간 0.025초

Robust Visual Tracking using Search Area Estimation and Multi-channel Local Edge Pattern

  • Kim, Eun-Joon
    • 한국컴퓨터정보학회논문지
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    • 제22권7호
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    • pp.47-54
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    • 2017
  • Recently, correlation filter based trackers have shown excellent tracking performance and computational efficiency. In order to enhance tracking performance in the correlation filter based tracker, search area which is image patch for finding target must include target. In this paper, two methods to discriminatively represent target in the search area are proposed. Firstly, search area location is estimated using pyramidal Lucas-Kanade algorithm. By estimating search area location before filtering, fast motion target can be included in the search area. Secondly, we investigate multi-channel Local Edge Pattern(LEP) which is insensitive to illumination and noise variation. Qualitative and quantitative experiments are performed with eight dataset, which includes ground truth. In comparison with method without search area estimation, our approach retain tracking for the fast motion target. Additionally, the proposed multi-channel LEP improves discriminative performance compare to existing features.

A Simplified Method to Estimate Travel Cost based on Traffic-Adaptable Heuristics for Accelerating Path Search

  • Kim, Jin-Deog
    • Journal of information and communication convergence engineering
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    • 제5권3호
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    • pp.239-244
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    • 2007
  • In the telematics system, a reasonable path search time should be guaranteed from a great number of user's queries, even though the optimal path with minimized travel time might be continuously changed by the traffic flows. Thus, the path search method should consider traffic flows of the roads and the search time as well. However, the existing path search methods are not able to cope efficiently with the change of the traffic flows and to search rapidly paths simultaneously. This paper proposes a new path search method for fast computation. It also reflects the traffic flows efficiently. Especially, in order to simplify the computation of variable heuristic values, it employs a simplification method for estimating values of traffic-adaptable heuristics. The experiments are carried out with the $A^*$ algorithm and the proposed method in terms of the execution time, the number of node accesses and the accuracy. The results obtained from the experiments show that the method achieves very fast execution time and the reasonable accuracy as well.

고속 움직임 추정을 위한 시공간적 상관관계 기반의 효율적인 부분 왜곡 탐색 알고리즘 (An Efficient Partial Distortion Search Algorithm using the Spatial and Temporal Correlations for Fast Motion Estimation)

  • 하동원;조효문;이종화
    • 대한전자공학회논문지SD
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    • 제47권1호
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    • pp.79-85
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    • 2010
  • H.264/AVC와 같은 영상압축표준에서 움직임 추정 및 보상은 비디오 코딩 과정에서 가장 많은 연산량을 차지하는 중요한 처리과정이다. 영상 코덱에서 일반적으로 사용되는 전역 탐색 기법(Full Search)은 가장 좋은 화질을 보여주긴 하지만 매우 많은 계산량이 필요하다는 단점이 있다. 따라서 좋은 화질을 유지하면서도 계산량을 낮추기 위한 많은 고속 알고리즘들이 제안되었다. 그 중 NPDS(Normaized Partial Distortion Search)는 개선된 블록 정합 오류 연산을 이용하여 계산량을 낮추면서도 전역 탐색 기법에 거의 근접한 화질을 얻어 낼 수 있었다. 본 논문에서는 움직임 예측 벡터를 이용하여 초기에 최소 정합에러를 결정하고, 새로운 탐색 순서를 적용한 알고리즘을 제안한다. 실험결과에 따르면 제안하는 알고리즘은 기존의 전역탐색 알고리즘에 비해 비교적 화질 열화가 없고 계산량이 평균적으로 약 95% 감소하는 것을 확인할 수 있었다.

운동영역의 상관성을 선택적으로 이용한 고속 움직임 추정 기법 (Fast Hierarchical Block Matching Algorithm by Adaptively Using Spatial Correlation of Motion Field)

  • 임경원;송병철;나종범
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 1996년도 학술대회
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    • pp.217-220
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    • 1996
  • This paper describes a new hierarchial block matching algorithm especially appropriate for a large search area. The proposed algorithm consists of higher level search for an initial motion vector estimate by using a new matching criterion over the evenly subsampled search points, and lower level search for the final motion vector refinement. In the higher level matching criterion, mean absolute differences at the search points (or motion vector candidates) similar to motion vectors of causally neighboring blocks, are weighted properly so that these points can have a higher chance to being selected. The proposed algorithm outperforms existing hierarchical block matching algorithms, and its computational regularity makes hardware implementation simple.

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타부탐색을 이용한 AGVS 일방향 흐름경로 설계 (Unidirectional AGVS Flowpath Design using Tabu Search)

  • 문영훈;서윤호
    • 산업공학
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    • 제17권spc호
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    • pp.97-102
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    • 2004
  • AGV flowpath layout design is one of the most important steps for efficient AGV systems design. Since it was formulated by Gaskins & Tanchoco (1987), a unidirectional AGV flowpath layout design problem has been tackled by many researchers. However, the solution methods were traded off between the solution quality and the computational time. In this paper, a tabu search technique is applied to obtain a good solution for a relatively large problem in reasonable computational time. Specifically, fast construction algorithm for feasible initial solutions, long-term memory structure and neighbor solutions generation are adapted to the problem characteristics and embedded in the tabu search algorithm. Also, sets of computational experiments show that the proposed tabu search algorithm outperforms to the Ko and Egbelu's algorithm (2003).

영상코드화 기법을 이용한 PIV 알고리듬에 대한 연구 (A Research on the PIV Algorithm Using Image Coding)

  • 김성균
    • 대한기계학회논문집B
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    • 제24권2호
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    • pp.153-160
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    • 2000
  • A Particle Image Velocimetry(PIV) algorithm is developed to analyze whole flow field both qualitatively and quantitatively. The practical use of PIV requires the use of fast, reliable, computer-based methods for tracking numerous particles suspended in a flow field. The TSS, NTSS, FFT-Hybrid, which are developed in the area of image compression and coding, are introduced to develop fast vector search algorithm. The numerical solution of the lid-driven cavity flow by the ADI algorithm with the Wachspress Formula is introduced to produce synthetic data for the validation of the tracking algorithms. The algorithms are applied to image data of real flow experiments. The comparisons in CPU time and mean error show, with a small loss of accuracy, CPU time for tracking is reduced considerably.

Fast Stereo Matching Algorithm using Edge Projection

  • Ha, Jong-Eun;Kang, Dong-Joong;Kim, Jin-Young;Kim, Min-Sung
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.2389-2392
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    • 2005
  • We present fast stereo matching algorithm using edge projection. Traditional stereo matching algorithm uses 2D template for the search of corresponding point thus it requires huge the computational cost. In this paper, we reduce the 2D search problem into 1D using edge projection along vertical and horizontal direction inside the region of interest. Also, by accumulation of edge projection along vertical and horizontal direction, the edge projection within the region of interest could simply be obtained by just subtracting two values. Experimental results show that matching algorithm using edge projection also gives comparable discriminating power compared to that of using intensity.

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마이크로 그리드 운영비용 최소화를 위한 Harmony Search 알고리즘 응용 (An Application of Harmony Search Algorithm for Operational Cost Minimization of MicroGrid System)

  • 이상봉;김규호;김철환
    • 전기학회논문지
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    • 제58권7호
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    • pp.1287-1293
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    • 2009
  • This paper presents an application of Harmony Search (HM) meta-heuristic optimization algorithm for optimal operation of microgrid system. The microgrid system considered in this paper consists of a wind turbine, a diesel generator, and a fuel cell. An one day load profile which divided 20 minute data and wind resource for wind turbine generator were used for the study. In optimization, the HS algorithm is used for solving the problem of microgrid system operation which a various generation resources are available to meet the customer load demand with minimum operating cost. The application of HS algorithm to optimal operation of microgrid proves its effectiveness to determine optimally the generating resources without any differences of load mismatch and having its nature of fast convergency time as compared to other optimization method.

5-방향 탐색 알고리듬을 이용한 고속 움직임벡터 예측 (A high speed motion vector estimation using 5-directional search algorithm)

  • 이근영
    • 전자공학회논문지S
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    • 제35S권3호
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    • pp.144-149
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    • 1998
  • This paper presents a fast motion estimation algorithm, 5DS, useful for video coding. We first try block matching to 4 directions(N, E, W, S) to estimate motions in this algorith, since most of motions in video are oriented to those direction, and then try one additional diagonal matching between the matching ponts having small MADs. It makesthis algorithm possible for searching through a diagonal direction which is not adequate to logarithmic (LOG) search algorithm. This proposed algorithm has almost same PSNR but, 1.9, 1.2 times faster than classical block matching methods such as three steps search(TSS) and LOG search algorithms.

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영상 복잡도와 다양한 매칭 스캔을 이용한 고속 전영역 움직임 예측 알고리즘 (A Fast Full-Search Motion Estimation Algorithm using Adaptive Matching Scans based on Image Complexity)

  • 김종남
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제32권10호
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    • pp.949-955
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    • 2005
  • 본 논문에서는 기존의 전영역 탐색 방식의 계산량을 현저히 줄임과 동시에 동일한 예측 화질을 얻기 위해, 기준 블록의 복잡도 순서와 정방형 서브블럭을 가지고 복잡한 영역 세분화를 통한 고속 블록 매칭(block matching) 알고리즘을 제안하였다. 매칭 에러가 기준 블록 기울기 크기에 비례한다는 것을 이용하여 종래의 순차적인 매칭 스캔(matching scan) 과 행/열 기반의 적응 매칭 스캔 대신, 복잡도에 기초한 정방형 서브 블록(sub-block) 적응 매칭 스캔을 가지고 불필요한 계산을 효율적으로 줄였다. 제안된 알고리즘은 예측 화질의 저하 없이 기존의 PDE(partial distortion elimination) 알고리즘을 이용한 전영역 탐색 방법에 비해 $30\%$의 계산량을 줄였으며, MPEG-2 및 MPEG-4 AVC를 이용하는 비디오 압축 응용분야에 유용하게 사용될 수 있을 것이다.