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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems"

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Cloud-based Platform for Computer Vision Applications 17

Cloud-based Platform for Computer Vision Applications

引用

International conference on Smart Digital Environment (ICSDE)

作者： Mahmoudi, Sidi Ahmed El Adoui, Mohammed Belarbi, Mohammed Amin Larhmam, Mohammed Amine Lecron, Fabian Univ Mons Mons Belgium

ISBN: (纸本)9781450352819

During last years, images and videos have become widely used in many daily applications. Indeed, they can come from cameras, smartphones, social networks of from medical devices. Generally, these images and videos are used for illustrating people or objects (cars, trains, planes, etc.) in many situations such as airports, train stations, public areas, sport events, hospitals, etc. Thus, image and video processing algorithms have got increasing importance, they are required from various computer visions applications such as motion tracking, real time event detection, database (images and videos) indexation and medical computer aided diagnosis methods. In this paper, we propose a cloud platform that integrates the above-mentioned methods, which are generally developed with popular open source image and video processing libraries (OpenCV(1), OpenGL(2), ITK3, VTK4, etc.). Theses modules are automatically integrated and configured in the cloud application. Thus, the platform users will have access to different computer vision techniques without the need to download, install and configure the corresponding software. Each guest can select the required application, load its data and get the output results in a safe and simple way. The cloud platform can handle the variety of Operating systems and programming languages (C++, Java, Python, etc.). Experimentations were conducted within two kinds of applications. The first represents medical methods such as image segmentation in MR images, 3D image reconstruction from 2D radiographs, left ventricle segmentation and tracking from 2D echocardiography. The second kind of applications is related to video processing such as face, people and cars tracking, and abnormal event detection in crowd videos.

关键词： Cloud computing image and video processing video surveillance medical image analysis

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Single-image Blind Deconvolution Using Gradient Saliency Map 36

Single-Image Blind Deconvolution Using Gradient Saliency Map

引用

第36届中国控制会议

作者： Xiaoguang Di Lei Yin Control and Simulation Center Harbin Institute of Technology

ISBN: (纸本)9781538629185

Single-image blind deconvolution is one of the most challenging fields in image processing which restores a sharp image from its blurred *** blind deconvolution algorithms have made significant ***,the restoration of blurred images with little scale edges and periodic textures is still a hard *** solve this problem,this paper proposes a new normalized sparse regularization blind deconvolution algorithm,which uses a gradient saliency map to prohibit the image small structures on image blurry kernel ***,salient detection is performed to select the important area which conforms with the human vision system and generates a binary mask to screen out useful ***,the normalized sparse regularization blind deconvolution method is applied to obtain accurate blur kernel and recover the sharp ***,the experiment results show that the algorithm can effectively deblur the degraded image on different scenarios.

关键词： blind deconvolution sparse regularization salient detection gradient map

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Automatic Safety Helmet Wearing Detection 7

Automatic Safety Helmet Wearing Detection

引用

7th IEEE Annual International conference on CYBER Technology in Automation, Control, and Intelligent systems (CYBER)

作者： Li, Kang Zhao, Xiaoguang Bian, Jiang Tan, Min Univ Chinese Acad Sci Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China

ISBN: (纸本)9781538604908

Surveillance is very essential for the safety of power substation. The detection of whether wearing safety helmets or not for perambulatory workers is the key component of overall intelligent surveillance system in power substation. In this paper, a novel and practical safety helmet detection framework based on computer vision, machine learning and image processing is proposed. In order to ascertain motion objects in power substation, the ViBe background modelling algorithm is employed. Moreover, based on the result of motion objects segmentation, real-time human classification framework C4 is applied to locate pedestrian in power substation accurately and quickly. Finally, according to the result of pedestrian detection, the safety helmet wearing detection is implemented using the head location, the color space transformation and the color feature discrimination. Extensive compelling experimental results in power substation illustrate the efficiency and effectiveness of the proposed framework.

关键词： Safety Substations Feature extraction image color analysis Support vector machines Surveillance Classification algorithms"

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Efficient Generation of Parallel Spin-images Using Dynamic Loop Scheduling

Efficient Generation of Parallel Spin-images Using Dynamic L...

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IEEE 19th International conference on High Performance Computing and Communications (HPCC)

作者： Eleliemy, Ahmed Mohammed, Ali Ciorba, Florina M. Univ Basel Dept Math & Comp Sci Basel Switzerland

ISBN: (纸本)9781538659304

High performance computing (HPC) systems underwent a significant increase in their processing capabilities. Modern HPC systems combine large numbers of homogeneous and heterogeneous computing resources. Scalability is, therefore, an essential aspect of scientific applications to efficiently exploit the massive parallelism of modern HPC systems. This work introduces an efficient version of the parallel spin-image algorithm (PSIA), called EPSIA. The PSIA is a parallel version of the spin-image algorithm (SIA). The (P)SIA is used in various domains, such as 3D object recognition, categorization, and 3D face recognition. EPSIA refers to the extended version of the PSIA that integrates various well-known dynamic loop scheduling (DLS) techniques. The present work: (1) Proposes EPSIA, a novel flexible version of PSIA;(2) Showcases the benefits of applying DLS techniques for optimizing the performance of the PSIA;(3) Assesses the performance of the proposed EPSIA by conducting several scalability experiments. The performance results are promising and show that using well-known DLS techniques, the performance of the EPSIA outperforms the performance of the PSIA by a factor of 1.2 and 2 for homogeneous and heterogeneous computing resources, respectively.

关键词： Spin-image algorithm Static loop scheduling Dynamic loop scheduling Self scheduling Guided self scheduling Factoring Efficient performance

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Computer-assisted Billiard Self-Training Using Intelligent Glasses 14

Computer-assisted Billiard Self-Training Using Intelligent G...

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14th International Symposium on Pervasive systems, algorithms and Networks (I-SPAN) / 11th International conference on Frontier of Computer Science and Technology (FCST) / 3rd International Symposium of Creative Computing (ISCC)

作者： Hsu, Chun-Chieh Tsai, Hou-Chun Chen, Hua-Tsung Tsai, Wen-Jiin Lee, Suh-Yin Natl Chiao Tung Univ Dept Comp Sci Hsinchu 300 Taiwan Natl Chiao Tung Univ Informat & Commun Technol Lab Hsinchu 300 Taiwan

ISBN: (纸本)9781538608401

Self-training plays an important role in sports exercise. However, if not under the instruction of a coach, it would be ineffective for most amateurs or inexperienced players to exercise on their own. Therefore, establishing computer-assisted training systems for sports exercise is a recently emerging topic. In this paper, we propose a billiard self-training system, which aims at improving billiard players' performance by utilizing intelligent glasses as a wearable camera and displayer. The proposed system is able to automatically analyze user-captured images of the billiard table from multiple views and display the ball configurations on a virtual top-view table. Enriched visual presentation can be provided to give the practitioner a further sight into the game. The experiments conducted on sixteen sets of different ball configurations show promising results.

关键词： sports training ball localization intelligent glasses wearable device multi-view image processing

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T-S Fuzzy Logic Control with Genetic Algorithm Optimization for Pneumatic Muscle Actuator

T-S Fuzzy Logic Control with Genetic Algorithm Optimization ...

引用

International conference on Modelling, Identification and Control (ICMIC)

作者： Cheng Chen Jian Huang Dongrui Wu Zhikang Song Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China Beijing Advanced Innovation Center of Intelligent Robots and Systems Beijing China School of Automation Huazhong University of Science and Technology Wuhan China

Based on the three elements model of pneumatic muscle actuators(PMA), this paper proposed a T-S fuzzy logic control with genetic algorithm optimization and achieved the trajectory tracking control of PMA. To guarantee the stability of control system, the Lyapunov direct method was used. And the LMI Toolbox of Matlab was used in this paper to solve linear matrix inequalities(LMls) and calculate the state feedback gains. Finally, the results of experiment demonstrated that, T-S fuzzy logic control with genetic algorithm optimization can achieve desired control performance, which overcome the chattering of trajectory tracking, reduced tracking error effectively and improved the accuracy of control.

关键词： Genetic algorithms Fuzzy logic Mathematical model Optimization Muscles Actuators Stability analysis

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Improving the Robustness of a Direct Visual Odometry Algorithm for Planetary Rovers

Improving the Robustness of a Direct Visual Odometry Algorit...

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International conference on Electrical Engineering, Computing Science and Automatic Control (CCE)

作者： Geovanni Martinez Image Processing and Computer Vision Research Laboratory (IPCV-LAB) School of Electrical Engineering University of Costa Rica San José Costa Rica

An algorithm capable of computing the robot position by evaluating measurements of frame to frame intensity differences was extended to be able to detect outliers in the measurements to exclude them from the evaluation to perform the positioning, with the aim of improving its robustness in irregular terrain scenes, such as consisting of flat surfaces with stones on them. The images are taken by a camera firmly attached to the robot, tilted downwards, looking at the planetary surface. A measurement is detected as an outlier only if its intensity difference and linear intensity gradients can not be described by motion compensation. According to the experimental results, this modification reduced the positioning error by a factor of one third in difficult terrain, maintaining its positioning error, which resulted in an average of 1.8%, within a range of 0.15% and 2.5% of distance traveled, similar to those achieved by state of the art algorithms successfully used in robots here on earth and on Mars.

关键词： Three-dimensional displays Cameras Visual odometry Robot vision systems Wheels Extraterrestrial measurements

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Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration 1st ed. 2017

引用

丛书名： Communications in Computer and Information Science

2017年

作者： Kang Li Yusheng Xue Shumei Cui Qun Niu Zhile Yang Patrick Luk

ISBN: (数字)9789811063640

ISBN: (纸本)9789811063633

The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International conference on Life System Modeling and Simulation, LSMS 2017, and of the International conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, algorithms and Apparatus; Modeling and Simulation of Life systems; Data Driven Analysis; image and Video processing; Advanced Fuzzy and Neural Network Theory and algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear systems; Advanced Methods for Networked systems; Control and Analysis of Transportation systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment.

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A Novel ant colonies approach to medical image segmentation 14

A Novel ant colonies approach to medical image segmentation

引用

14th International Multi-conference on systems, Signals & Devices (SSD)

作者： Selmani, Anissa Seddik, Hassene ben Braiek, Ezzedine ENSIT CEREP Dept Elect Engn Tunis Tunisia

ISBN: (纸本)9781538631751

Prostate cancer is becoming a threat to humanity. Today, the diagnosis of diseases is still be realized mostly by manual methods. Nevertheless, this traditional process is inefficient and not accurate. Its precision depends on the operator's expertise. Thus, applying machine learning algorithms for malignant cells detection and counting remains a significant purpose in medical image analysis research. In this paper, we apply a modified ACO algorithm to measure the rate of cell growth of cancer's patient automatically due to segmentation and counting process. The proposed method was applied on several medical images obtained from MRI-guided prostate biopsies. The robustness of this idea was showed by comparison with hand-labeled obtained segmentation results.

关键词： image processing ACO segmentation Prostate cancer cells detection cells couting

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Individuals Identification Using Finger Veins under a Multi-core Platform

Individuals Identification Using Finger Veins under a Multi-...

引用

Computer Science Society (SCCC) International conference Chilean FLAGGED

作者： Cristofher Rojas Ruber Hernández-García Ricardo J. Barrientos LITRP Depto. DCI Universidad Católica del Maule Talca Chile

ISBN: (纸本)9781538692349;9781538692332

Nowadays, the individuals identification is a problem in many private company, but also in governmental and public order entities. Currently, there are multiple biometric methods, each with different advantages. A modern biometric method, which has several advantages, especially in terms of security against forgery, is finger vein identification. In the present work we have proposed and developed multi-core algorithms for the identification of people using finger veins, based on the SIFT displacement method, which currently has reached the highest efficiency performance in the state-of-the-art in the finger vein identification. The highest performance was reached with the hierarchical multi-core version, which uses two different type of threads, one is in charge of the query management and the second one in charge of the query processing with the database.

关键词： image segmentation Veins Fingers Companies Security Forgery Message systems

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