• 제목/요약/키워드: Contour Tracking algorithm

검색결과 99건 처리시간 0.031초

Parametric Active Contour를 이용한 Vehicle Tracking (Vehicle Tracking using Parametric Active Contour)

  • 나상일;이웅희;조익환;정동석
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅲ
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    • pp.1411-1414
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    • 2003
  • In this paper, vehicle tracking is implemented using parametric active contour. Extract objects from the background area is the essential step in vehicle tracking. We focus our algorithm on the situations such that the camera is fixed. However, if a simple and ordinary algorithm is adapted to achieve real-time processing, it produces much noise and the vehicle tracking results is poor. For this reason, in this paper, we propose a parametric active contour model algorithm to achieve better vehicle tracking. Experimental results show that the performance of the proposed algorithm is satisfactory.

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윤곽선 추적 알고리즘과 개선된 ART1을 이용한 영문 명함 인식에 관한 연구 (A Study on the Recognition of an English Calling Card by using Contour Tracking Algorithm and Enhanced ART1)

  • 김광백;김철기;김정원
    • 지능정보연구
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    • 제8권2호
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    • pp.105-115
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    • 2002
  • 본 논문에서는 4 방향 윤곽선 추적 알고리즘(contour tracking algorithm)과 개선된 ART1을 이용한 영문 명함인식 방법을 제안한다. 영문 명함 영상에서 문자열 추출은 영상을 3배로 축소하여 수평 스미어링 기법(smearing method)과 4방향 윤곽선 추적 방법을 적용하여 문자열 후보 영역을 추출하고 수평 및 수직의 비율과 면적을 이용하여 문자열 영역과 비문자열 영역을 구분하였다. 추출된 문자열 영역에서 개별 문자 추출은 수평 스미링 기법과 윤곽선 추적 알고리즘을 이용하여 추출하였고 개별 문자들의 인식은 ART1 알고리즘을 개선하여 인식에 적용하였다. 본 논문에서 제안한 ARTI 알고리즘은 퍼지 합 접속 연산자를 이용하여 유사도를 동적으로 조정함으로써 기존의 ART1을 개선하였다. 추출 및 인식 실험 결과, 제안된 추출 및 인식 방법이 영문 명함 인식에서 효율적인 것을 확인하였다.

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Unscented Kalman Snake for 3D Vessel Tracking

  • Lee, Sang-Hoon;Lee, Sanghoon
    • Journal of International Society for Simulation Surgery
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    • 제2권1호
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    • pp.17-25
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    • 2015
  • Purpose In this paper, we propose a robust 3D vessel tracking algorithm by utilizing an active contour model and unscented Kalman filter which are the two representative algorithms on segmentation and tracking. Materials and Methods The proposed algorithm firstly accepts user input to produce an initial estimate of vessel boundary segmentation. On each Computed Tomography Angiography (CTA) slice, the active contour is applied to segment the vessel boundary. After that, the estimation process of the unscented Kalman filter is applied to track the vessel boundary of the current slice to estimate the inter-slice vessel position translation and shape deformation. Finally both active contour and unscented Kalman filter are inter-operated for vessel segmentation of the next slice. Results The arbitrarily shaped blood vessel boundary on each slice is segmented by using the active contour model, and the Kalman filter is employed to track the translation and shape deformation between CTA slices. The proposed algorithm is applied to the 3D visualization of chest CTA images using graphics hardware. Conclusion Through this algorithm, more opportunities, giving quick and brief diagnosis, could be provided for the radiologist before detailed diagnosis using 2D CTA slices, Also, for the surgeon, the algorithm could be used for surgical planning, simulation, navigation and rehearsal, and is expected to be applied to highly valuable applications for more accurate 3D vessel tracking and rendering.

ML 추정을 이용한 혈관 윤곽 추적 알고리듬 (Tracking Algorithm of Vessel's Contour using ML estimation)

  • 박석일;이종실;구자일;홍승홍
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1997년도 추계학술대회
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    • pp.150-153
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    • 1997
  • The proposed tracking algorithm approaches geometrical method or position, direction, width of vessel. This algorithm using continuity of vessel in spatial coordinates used to determine direction of the center point, after estimating boundary point in dynamic region. Therefore the tracking of vessel's contour is tracked contour as direction of entire contour in coronary artery. This algorithm is automatically processed by DIP as a compared with conventional method, because searching area varies adaptively to allocate searching region from extracted information at past. And ML estimation expressed robust method or angiography as evaluating sample values after preprocessing.

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A Fast Snake Algorithm for Tracking Multiple Objects

  • Fang, Hua;Kim, Jeong-Woo;Jang, Jong-Whan
    • Journal of Information Processing Systems
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    • 제7권3호
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    • pp.519-530
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    • 2011
  • A Snake is an active contour for representing object contours. Traditional snake algorithms are often used to represent the contour of a single object. However, if there is more than one object in the image, the snake model must be adaptive to determine the corresponding contour of each object. Also, the previous initialized snake contours risk getting the wrong results when tracking multiple objects in successive frames due to the weak topology changes. To overcome this problem, in this paper, we present a new snake method for efficiently tracking contours of multiple objects. Our proposed algorithm can provide a straightforward approach for snake contour rapid splitting and connection, which usually cannot be gracefully handled by traditional snakes. Experimental results of various test sequence images with multiple objects have shown good performance, which proves that the proposed method is both effective and accurate.

스테레오 동영상에서 스네이크 포인트 수의 최적화를 이용한 객체 윤곽 추적 알고리즘 (Object Contour Tracking Using Optimization of the Number of Snake Points in Stereoscopic Images)

  • 김신형;장종환
    • 정보처리학회논문지B
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    • 제13B권3호
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    • pp.239-244
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    • 2006
  • 본 논문은 스테레오 동영상에서 스네이크를 이용해 객체 윤곽을 추적하는 방법을 제안한다. 제안한 방법은 스테레오 동영상에서 얻을 수 있는 변이 정보를 이용해 복잡한 배경을 제거하고, 객체의 윤곽에서 곡률이 심한 곳에는 부족한 스네이크 포인트를 추가하고 그렇지 않은 곳은 잉여 스네이크 포인트를 제거하여 윤곽을 잘 검출하도록 하였다. 제안한 방법은 객체의 오목한 윤곽 부분에서 스네이크 포인트 수 부족으로 인해 정확한 윤곽을 검출하기 힘들었던 문제를 해결할 수 있었고 복잡한 배경을 갖는 영상에서도 동작이 잘 되었다. 또한 폐색구간에서도 객체의 영역 변화에 따라 스네이크 포인트를 최적화하며 추적하였다. 제안한 방법은 실험을 통해 그 성능을 확인하였다.

스테레오 동영상에서 스네이크를 이용한 객체윤곽 추적 알고리즘 (Object Contour Tracking Using Snakes in Stereo Image Sequences)

  • 김신형;장종환
    • 정보처리학회논문지B
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    • 제12B권7호
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    • pp.767-774
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    • 2005
  • 본 논문에서는 스테레오 동영상에서 스네이크를 이용한 객체 윤곽 추적 알고리즘을 제안한다. 제안하는 방법은 두 단계로 구성된다. 첫 번째 단계는 변이 공간에서 스네이크 포인트의 3-D 동작 정보로부터 후보 스네이크 포인트의 위치를 계산하고, 두 번째 단계는 새로 정의한 스네이크에너지 함수를 후보 스네이크 포인트에 적용하여 객체의 윤곽을 추적한다. 제안한 방법은 복잡한 배경을 갖는 영상에서 국부 최소값에 빠지는 문제점과 관심객체의 오목한 윤곽에서 스네이크 포인트가 잘 수렴되지 않는 문제점을 해결 할 수 있었고 실험을 통해 성능을 분석하였다.

A LOCALIZED GLOBAL DEFORMATION MODEL TO TRACK MYOCARDIAL MOTION USING ECHOCARDIOGRAPHY

  • Ahn, Chi Young
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제18권2호
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    • pp.181-192
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    • 2014
  • In this paper, we propose a robust real-time myocardial border tracking algorithm for echocardiography. Commonly, after an initial contour of LV border is traced at one or two frame from the entire cardiac cycle, LV contour tracking is performed over the remaining frames. Among a variety of tracking techniques, optical flow method is the most widely used for motion estimation of moving objects. However, when echocardiography data is heavily corrupted in some local regions, the errors bring the tracking point out of the endocardial border, resulting in distorted LV contours. This shape distortion often occurs in practice since the data acquisition is affected by ultrasound artifacts, dropout or shadowing phenomena of cardiac walls. The proposed method deals with this shape distortion problem and reflects the motion realistic LV shape by applying global deformation modeled as affine transform partitively to the contour. We partition the tracking points on the contour into a few groups and determine each affine transform governing the motion of the partitioned contour points. To compute the coefficients of each affine transform, we use the least squares method with equality constraints that are given by the relationship between the coefficients and a few contour points showing good tracking results. Many real experiments show that the proposed method supports better performance than existing methods.

연속영상에서 이동물체 추적을 위한 적응형 컨투어 제어기법 (Adaptive Active Contour Control for the Moving Target Tracking in the Image Sequence)

  • 김도종;이부환
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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    • pp.1992-1995
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    • 2003
  • An adaptive active contour algorithm which shows stable object tracking performance under the moving or deformable environments, is proposed. In order to cope with local deformation of the object, an energy map is generated from the difference of the consecutive images and a new energy function based on the energy map is presented. The algorithm is evaluated on a set of artificial and real images to verify the efficiencies and test results show the stable tracking performance for the moving objects.

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