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检索条件"任意字段=Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing"

共 557 条记录，以下是381-390 订阅

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Video based Traffic Congestion Prediction on an Embedded System

Video based Traffic Congestion Prediction on an Embedded Sys...

引用

11th IEEE International conference on Intelligent Transportation Systems (ITSC 2008)

作者： Glasl, Holger Schreiber, David Viertl, Nikolaus Veigl, Stephan Fernandez, Gustavo Austrian Res Ctr GmbH ARC Smart Syst Div A-1220 Vienna Austria

ISBN: (纸本)9781424421114

In recent years, computer vision methods have been exploited in traffic surveillance systems to perform video image analysis, e.g. extracting statistical traffic information and detecting events. However, not much work was dedicated to the prediction of events, in particular of traffic congestions. this paper has two contributions: First, it presents an embedded computer vision system which collects traffic data, and secondly, it reports an innovative method for predicting traffic congestions. For the latter purpose, three traffic parameters are measured and analysed: average speed, vehicle density and the amount of lane changes. the novelty of the current work resides in the use of lane changes in order to predict a traffic congestion. It is shown how the amount of lane changes can be used for improving the prediction of a traffic congestion event soiree minutes before the traffic congestion starts. the validity of the proposed method is tested using data from a real scenario, which have been collected by the embedded computer vision system also presented in this work. the obtained results are discussed, along with possible future improvements and new research directions.

关键词： Traffic congestion prediction real time applications embedded platform image-based video processing vehicle detection vehicle tracking

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Rice disease identification using pattern recognition techniques

Rice disease identification using pattern recognition techni...

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11th International conference on computer and Information Technology, ICCIT 2008

作者： Phadikar, Santanu Sil, Jaya Dept. of CSE West Bengal University of Technology Kolkata700064 India Dept. of CST Bengal Engineering and Science University Howrah-711103 India

ISBN: (纸本)9781424421367

the techniques of machine vision are extensively applied to agricultural science, and it has great perspective especially in the plant protection field, which ultimately leads to crops management. the paper describes a software prototype system for rice disease detection based on the infected images of various rice plants. images of the infected rice plants are captured by digital camera and processed using image growing, image segmentation techniques to detect infected parts of the plants. then the infected part of the leaf has been used for the classification purpose using neural network. the methods evolved in this system are both image processing and soft computing technique applied on number of diseased rice plants. © 2008 IEEE.

关键词： image segmentation

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Improving Potts MRF model parameter estimation in image analysis

Improving Potts MRF model parameter estimation in image anal...

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11th IEEE International conference on Computational Science and Engineering

作者： Levada, Alexandre L. M. Mascarenhas, Nelson D. A. Tannus, Alberto Univ Sao Paulo Inst Fis Sao Carlos SP Brazil Univ Federal Sao Carlos Dept Comp Sao Carlos SP Brazil

ISBN: (纸本)9780769531939

this paper presents a novel pseudo-likelihood equation for the estimation of the Potts MRF model parameter on second-order neighborhood systems. Experiments with simulated images comparing the proposed estimation method with a recent maximum-likelihood estimation approach derived in literature show the superiority of our methodology. In order to evaluate the performance of the estimation method, we proposed a hypothesis testing approach to validate the obtained results. the test statistic together with the p-values, calculated through our approximation for the asymptotic variance of maximum pseudo-likelihood estimators, provide a complete framework for quantitative analysis of Potts model parameter estimation in image processing, pattern recognition and computer vision applications using MRF models.

关键词： Maximum likelihood estimation

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A scalable projective bundle adjustment algorithm using the L norm

A scalable projective bundle adjustment algorithm using the ...

引用

6th indian conference on computer vision, graphics and image processing, ICVGIP 2008

作者： Mitra, Kaushik Chellappa, Rama Dept. of Electrical and Computer Engineering College Park MD United States

ISBN: (纸本)9780769534763

the traditional bundle adjustment algorithm for structure from motion problem has a computational complexity of O((m + n)3) per iteration and memory requirement of O(mn(m+n)), wheremis the number of cameras and n is the number of structure points. the sparse version of bundle adjustment has a computational complexity of O(m3+mn) per iteration and memory requirement of O(mn). Here we propose an algorithm that has a computational complexity of O(mn(vm + vn)) per iteration and memory requirement of O(max(m, n)). the proposed algorithm is based on minimizing the L norm of reprojection error. It alternately estimates the camera and structure parameters, thus reducing the potentially large scale optimization problem to many small scale subproblems each of which is a quasiconvex optimization problem and hence can be solved globally. Experiments using synthetic and real data show that the proposed algorithm gives good performance in terms of minimizing the reprojection error and also has a good convergence rate.© 2008 IEEE.

关键词： Computational complexity

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Automatic Labeling of Anatomical Structures in MR FastView images Using a Statistical Atlas

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11th International conference on Medical image Computing and computer-Assisted Intervention (MICCAI2008)

作者： Fenchel, Matthias thesen, Stefan Schilling, Andreas Siemens Healthcare Sector MR Div Applicat & Workflow Erlangen Germany Eberhard Karls Univ Tubingen WSI GRIS Tubingen Germany

ISBN: (纸本)9783540859871

We present a method for fast and automatic labeling of anatomical structures in MR FastView localizer images. which call useful for automatic MR, examination planning. FastView is a modern MR protocol, that provides larger planning fields of view than previously available with isotropic 3D resolution by scanning during continuous movement, of the patient table. Hence, full 3D information is obtained within short acquisition time. Anatomical labeling is done by registering the images to a statistical atlas created from training image data beforehand. the statistical atlas consists of a statistical model of deformation and a statistical model of grey value appearance. It is generated by non-rigid registration and principal component analysis of the resulting deformation fields and registered images. Labeling of all unseen FastView image is done by non-rigid registration of the image to the statistical atlas and propagating the labels from the atlas to the image. In our implementation, the statistical models of deformation and appearance are both implemented oil the GPU (graphics processing unit), which permits computing the atlas based labeling using GPU hardware accelaration. them running times of about 10 to 30 seconds are of the same magnitude as the, image acquisition itself which allows for practical usage in clinical MR routine.

关键词： graphics processing unit

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GPU Accelerated Non-rigid Registration for the Evaluation of Cardiac Function

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11th International conference on Medical image Computing and computer-Assisted Intervention (MICCAI2008)

作者： Li, Bo Young, Alistair A. Cowan, Brett R. Univ Auckland Auckland Bioengn Inst Auckland 1 New Zealand Univ Auckland Auckland MRI Res Grp Auckland 1 New Zealand

ISBN: (纸本)9783540859895

We present a method for the fast and efficient tracking of motion in cardiac magnetic resonance (CMR) cines. A GPU accelerated Levenberg-Marquardt non-linear least squares optimization procedure for finite element non-rigid registration was implemented on an NVIDIA graphics card using the OpenGL environment. Points were tracked from frame to frame using forward and backward incremental registration. the inner (endocardial) and outer (epicardial) boarders of the heart were tracked in six short axis cities with similar to 25 frames through the cardiac cycle in 36 patients with vascular disease. Contours placed by two independent expert observers using a semi-automatic ventricular analysis program (CIM version 4.6) were used as the,Old standard. the method took 0.5 seconds per frame, and the maximum Hausdorff errors were less than 2 mm on average which was of the same order as the expert inter-observer error. In conclusion, GPU accelerated Levenberg-Marquardt non-linear optimization enables fast and accurate tracking, of cardiac motion in CMR images.

关键词： graphics processing Unit (GPU) image Registration Cardiac Magnetic Resonance Imaging (CMR)

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Segmentation of text and graphics from document images

Segmentation of text and graphics from document images

引用

9th International conference on Document Analysis and Recognition

作者： Chowdhury, S. P. Mandal, S. Das, A. K. Chanda, Bhabatosh BE & Sc Univ CST Dept Sibpur 711103 Howarh India Indian Stat Inst ECS Unit Kolkata 700035 W Bengal India

ISBN: (纸本)9780769528229

Text, graphics and half-tones are the major constituents of any document page. While half-tone can be characterised by its inherent intensity variation, text and graphics share common characteristics except difference in spatial distribution. the success of document image analysis systems depends on the proper segmentation of text and graphics as text is further subdivided into other classes such as heading, table and math-zones. Segmentation of graphics is essential for better OCR performance and vectorization in computer vision applications. graphics segmentation from text is particularly difficult in the context of graphics made of small components (dashed or dotted lines etc.) which have many features similar to texts. Here we propose a robust technique for segmenting all sorts of graphics and texts in any orientation from document pages.

关键词： image segmentation

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License plate location based on multi agent systems

License plate location based on multi agent systems

引用

11th International conference on Intelligent Engineering Systems

作者： Ebrahimi, M. Monsefi, R. Ildarabadi, S. Akbarzadeh, M. R. Habini, M. Department of Falavarjan Azad University Iran Faculty of Engineering Ferdowsi University Mashad Iran Department of Computer Engineering Azad University Iran Faculty of Falavarjan Azad University Iran

ISBN: (纸本)9781424411474

In this paper, a new algorithm for vehicle license plate location is proposed, on the basis of multi agent systems. the algorithm was tested with 400 natural-scene gray-level vehicle images of different backgrounds and ambient illumination. the camera focused in the plate, while the angle of view and the distance from the vehicle varied according to the experimental setup. the license plates properly segmented about 99 percent of input images (99%).

关键词： image processing machine vision multi agent system license plate location (LPL)

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Non-additive approach for omnidirectional image gradient estimation

Non-additive approach for omnidirectional image gradient est...

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2007 IEEE 11th International conference on computer vision, ICCV

作者： Jacquey, Florence Comby, Frédéric Strauss, Olivier LIRMM Univ. Montpellier 2 CNRS 161 rue Ada 34392 Montpellier Cedex 5 France

the way catadioptric images are acquired implies that they present radial distortions. therefore, classical processing may not be suitable. this statement will be illustrated by considering edge detection matter. Classical edge detectors usually consist in three steps : gradient computation, maximization and thresholding. the two lasts steps use pixels neighborhood concept. On the opposite of perspective images where pixel neighborhood is intuitive, catadioptric images present radial resolution changes. then, the size and shape of pixel neighborhood have to be depending on pixel location. this article presents a new gradient estimation approach based on non-additive kernels. this technique is adapted to catadioptric images and also provides a natural threshold discarding the arbitrary thresholding step. ©2007 IEEE.

关键词： Pixels

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Wavelet based experimental damage calibration using beam-moving load interaction model

Wavelet based experimental damage calibration using beam-mov...

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11th International conference on Civil, Structural and Environmental Engineering Computing, Civil-Comp 2007

作者： Pakrashi, V. O'Connor, A. Basu, B. Department of Civil Structural and Environmental Engineering Trinity College Dublin Ireland

ISBN: (纸本)9781905088157

this paper presents a wavelet analysis based damage calibration of an open crack in a beam traversed by a moving load. the experimental static and dynamic deflected shape data from beam-moving load interactions are obtained using a digital video camera. the data acquired correspond to various extents of damage. the digital images are processed by image processing techniques and analysed using spatial wavelets for damage extent calibration. the proposed calibration technique is applicable to bridge-vehicle interaction data and can be beneficial in situations where the structure can seldom be closed down to obtain structural health monitoring data. the static calibration is simple, fast and efficient if the static deflection or strain data is spatially available by loading a bridge with a static and preselected vehicle of known weight. © 2007 Civil-Comp Press.

关键词： computer graphics

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