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检索条件"机构=Computer Vision and Image Processing"

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Automatic Segmentation of Abdominal Aortic Aneurysm in Computed Tomography images Using Spatial Fuzzy C-Means

Automatic Segmentation of Abdominal Aortic Aneurysm in Compu...

引用

International IEEE Conference on Signal-image Technologies and Internet-Based System

作者： Emadaldin Mozafari Majd U.U. Sheikh S.A.R. Abu-Bakar Computer Vision Video and Image Processing Research Group (Cvvip) Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru Malaysia

Abdominal aortic aneurysm (AAA) is a cardiovascular disease which mostly appears in elderly people. Due to the weakening of aortic wall, a rupture occurs in the most inner layer of aorta and a thrombus is generated. If the diameter exceeds greater than 5.5 cm, a treatment strategy is required. As a result, CT imaging is utilized to screen and evaluate thrombus parameters for treatment. Exploitation of automatic techniques improves the pre- and post-treatment evaluation. In this paper, at first an algorithm based on spatial fuzzy c-means is applied to the CT image. Then lumen and thrombus are segmented automatically by tuning of morphological operators and thresholding parameters.

关键词： image segmentation Computed tomography Pixel Aneurysm Clustering algorithms Correlation Biomedical imaging

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Interest Point Based Tracking

Interest Point Based Tracking

引用

International Conference on Pattern Recognition

作者： Werner Kloihofer Martin Kampel Research and Development Image Processing Center Communication Systems GmbH Vienna Austria Computer Vision Laboratory University of Technology Vienna Vienna Austria

ISBN: (纸本)9781424475421

This paper deals with a novel method for object tracking. In the first step interest points are detected and feature descriptors around them are calculated. Sets of known points are created, allowing tracking based on point matching. The set representation is updated online at every tracking step. Our method uses one-shot learning with the first frame, so no offline and no supervised learning is required. Following an object recognition based approach there is no need for a background model or motion model, allowing tracking of abrupt motion and with non-stationary cameras. We compare our method to Mean Shift and Tracking via Online Boosting, showing the benefits of our approach.

关键词： Tracking Feature extraction computer vision Boosting Object recognition Pattern recognition Conferences

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Primitive-based 3D Structure Inference from a Single 2D image for Insect Modeling: Towards an Electronic Field Guide for Insect Identification

Primitive-based 3D Structure Inference from a Single 2D Imag...

引用

International Conference on Control, Automation, Robotics and vision

作者： Xiaozheng Zhang Yongsheng Gao Terry Caelli Biosecurity Group Queensland Research Lab National ICT Australia Brisbane Australia Computer Vision and Image Processing Lab Griffith University Brisbane Australia

ISBN: (纸本)9781424478149

3D insect models are useful to overcome viewing angle variations and self-occlusions in computer-assisted insect taxonomy for electronic field guides. The acquisition of 3D information is, however, unreliable due to the flexibility and small size of the insect bodies. This paper explores how to infer 3D insect models from a single 2D insect image, which will assist both insect description and identification. The 3D structure of the insect body is modeled from two geometric primitives, generalized cylinders and deformable ellipsoids. The primitives are fitted and warped based on both edge and medial axis constraints of the 2D image. Individualized 3D models are then built to approximate the insect structure. The proposed approach results in seemingly useful 3D insect models capable of representing the major morphological characteristics for a variety of insects with different body types. This method could be a helpful assistance for computer-assisted insect taxonomy and insect identification by entomologists and the public.

关键词： 3D model insect description structure inference 3D reconstruction

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Automatic mask creation and feature analysis for detectionof IVDD in canines

Automatic mask creation and feature analysis for detectionof...

引用

International Conference on computer Sciences and Convergence Information Technology (ICCIT)

作者： Jakia Afruz Jesse Phelps Scott E Umbaugh Dominic J. Marino Catherine A. Loughin Computer Vision and Image Processing Laboratory Electrical and Computer Engineering Southern Illionis University Edwardsville Edwardsville IL USA Long Island Veterinary Specialists Plainview NY USA

Intervertebral disc disease (IVDD) is a condition that affects both humans and canines. This disease is painful and degrades the quality of life for those that suffer from it. The current diagnostic methods for this disease are Magnetic Resonance Imaging (MRI) and/or Computed Axial Tomography (CAT scan). Both of these diagnostic methods are expensive and time consuming and involve patients being exposed to radiation and strong magnetic fields. In canines in particular, the amount of time it takes to perform one of these scans makes it necessary to sedate the animal as the patient needs to be still during the diagnostic procedure. Use of thermographic imaging for diagnosis, or at least prescreening, patients for IVDD will save money, time and possibly prevent needless radiation exposure. This paper attempts to show that thermal imaging of patients that are candidates for IVDD may be used diagnostically or as a prescreening method.

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Testing cross-platform streaming of video games over wired and wireless LANs

Testing cross-platform streaming of video games over wired a...

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24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010

作者： Jurgelionis, A. Bellotti, F. De Gloria, A. Laulajainen, J.-P. Fechteler, P. Eisert, P. David, H. Department of Biophysical and Electronic Engineering University of Genoa Genoa Italy Converging Networks Laboratory VTT Technical Research Centre of Finland Oulu Finland Computer Vision and Graphics Image Processing Department Heinrich-Hertz-Institute Fraunhofer-Institute for Telecommunications Berlin Germany R and D Department Exent Technologies Ltd. Petach Tikva Israel

ISBN: (纸本)9780769540191

In this paper we present a new cross-platform approach for video game delivery in wired and wireless local networks. The developed 3D streaming and video streaming approaches enable users to access video games on set top boxes and handheld devices that natively are not capable to run PC games. During the development of the distributed gaming system we have faced a number of challenges and problems posed by the hardware and network limitations. In order to solve these problems we have developed a multilevel testing methodology which is based on user assessment and technical measures for the system under development. In this paper we focus on the technical measures and instrumentation that we use for the system's performance measurement and testing. The benefits of our testing methodology are demonstrated through examples from the development and testing work. © 2010 IEEE.

关键词： Human computer interaction

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Implementation and analysis of integration GSM/GPRS modem in a TMS320VC6713 digital signal processor for vehicle location

Implementation and analysis of integration GSM/GPRS modem in...

引用

International Conference on computer and Communication Engineering, ICCCE

作者： H. A. Rahim R. B. Ahmad A. S. M. Zain U. U. Sheikh School of Computer and Communication Engineering Universiti Malaysia Pedis Kangar Perlis Malaysia Computer Vision Video and Image Processing Research Laboratory (CVVIP) Department of Microelectronics and Computer Engineering Universiti Teknologi Malaysia Johor Bahru Johor Malaysia

The rapidly evolving wireless communications environment and 3G, where the standard are constantly created and modified, has given rise to the integration of GPS (Global Positioning System) and GSM (Global System for Mobile Communication). This integration has been widely applied in many disciplines including Intelligent Transportation System (ITS) and Logistic Management to aid the users to locate their vehicles remotely. Further on, the fast growth of city transportation also has stimulated the development of VMS where it is recognized as one of the major components of ITS. However, this system is rarely being implemented on embedded system using DSP processor. Thus, this paper discusses design and implementation of GSM/GPRS integration in a TMS320VC6713 for Vehicle Location that permits users to communicate with their vehicles via a Short Message Service (SMS). This system provides an alternative solution to solve vehicle theft and hijacking problems where the system is able track the real-time moving car location by using cellular phone. The system performance analysis has been carried out where the executions of three functions have been measured in clock cycles.

关键词： GSM Digital signal processing Global Positioning System Vehicles Ground penetrating radar Modems Monitoring

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An adapted point based tracking for vehicle speed estimation in linear spacing

An adapted point based tracking for vehicle speed estimation...

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International Conference on computer and Communication Engineering, ICCCE

Vehicle velocity estimation is an important aspect of intelligent transportation systems. Normally velocity is estimated using dedicated laser speed traps and Doppler radars. Recently, the use of cameras is becoming more common for the purpose of traffic surveillance and smart surveillance system. It is thus the aim of this paper to propose a method for vehicle speed estimation using these existing video cameras. In this paper, we propose a vehicle speed estimation method from video analysis. The method proposed contains several steps; image preprocessing, centroid extraction and tracking. The proposed method transforms the 2D image points into a 3D virtual world to obtain actual vehicle position in 3D space. This is to account for perspective distortion commonly seen in images. Using these 3D points and measuring the time for displacement, the vehicle speed is obtained. Experimental results have shown that the proposed method gives accurate velocity estimation.

关键词： Vehicles Estimation Surveillance Tracking Pixel Cameras Three dimensional displays

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An Omnidirectional Time-of-Flight Camera and its Application to Indoor SLAM

An Omnidirectional Time-of-Flight Camera and its Application...

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International Conference on Control, Automation, Robotics and vision

作者： Katrin Pirker Matthias Ruther Horst Bischof Gerald Schweighofer Heinz Mayer Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16/II 8010 Graz Austria Institute of Digital Image Processing Joanneum Research GmbH Wastiangasse 6 8010 Graz Austria

ISBN: (纸本)9781424478149

Photonic mixer devices (PMDs) are able to create reliable depth maps of indoor environments. Yet, their application in mobile robotics, especially in simultaneous localization and mapping (SLAM) applications, is hampered by the limited field of view. Enhancing the field of view by optical devices is not trivial, because the active light source and the sensor rays need to be redirected in a defined manner. In this work we propose an omnidirectional PMD sensor which is well suited for indoor SLAM and easy to calibrate. Using a single sensor and multiple planar mirrors, we are able to reliably navigate in indoor environments to create geometrically consistent maps, even on optically difficult surfaces.

关键词： field of view supersonic low altitude missile indoor environment Optical Devices simultaneous localization and mapping TIME OF FLIGHT Sensors

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Depth estimation with a practical camera

Depth estimation with a practical camera

引用

2009 20th British Machine vision Conference, BMVC 2009

作者： Bhavsar, Arnav V. Rajagopalan, A.N. Image Processing and Computer Vision Lab. Indian Institute of Technology Madras Chennai India

ISBN: (纸本)1901725391

Given an off-the-shelf camera, one has the freedom to move the camera or play around with its intrinsic parameters such as zoom or aperture settings. We propose a framework for depth estimation from a set of calibrated images, captured under general camera motion and parameter variation. Our framework considers the practical trade-offs in a camera and hence essentially generalizes the more constrained areas such as lateral or axial stereo, shape from defocus/focus etc. We discuss practical issues where such an approach becomes important. We pose the problem in a MAP framework and compute the depth estimates efficiently using belief propagation (BP). We also incorporate the visibility consideration to handle occlusions. Moreover, we use the vital cue from color image segmentation to constrain the estimation process. Our results demonstrate the effectiveness of our approach to localize discontinuities and handle low-textured regions. © 2009. The copyright of this document resides with its authors.

关键词： Cameras

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Testing Cross-Platform Streaming of Video Games over Wired and Wireless LANs

Testing Cross-Platform Streaming of Video Games over Wired a...

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International Conference on Advanced Information Networking and Applications Workshops (AINAW)

作者： Audrius Jurgelionis Francesco Bellotti Alessandro De Gloria Jukka-Pekka Laulajainen Philipp Fechteler Peter Eisert Haggai David Department of Biophysical and Electronic Engineering University of Genoa Genoa Italy Universita degli Studi di Genova Genova Liguria IT Converging Networks Laboratory VTT Technical Research Center of Finland Oulu Finland Computer Vision & Graphics Fraunhofer-Institute for Telecommunications Berlin Germany Computer Vision & Graphics Image Processing Department Heinrich-Hertz-Institute Fraunhofer Institute of Telecommunications Berlin Germany Converging Networks Laboratory VTT Technical Research Centre of Finland Oulu Finland R&D Department Exent Technologies Ltd. Petach Tikva Israel

关键词： Streaming media Games Wireless LAN System testing computer graphics Hardware Cloud computing Delay image coding computer architecture

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