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

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Using vehicle-mounted camera to collect information for managing mixed traffic 15

Using vehicle-mounted camera to collect information for mana...

引用

15th International conference on Signal image Technology and Internet Based systems, SISITS 2019

作者： Namazi, Elnaz Holthe-Berg, Rein Nisja Lofsberg, Christoffer Skar Li, Jingyue Trondheim Norway

ISBN: (纸本)9781728156866

With increasingly rapid advances in the field of producing modern and autonomous vehicles, the need for intelligent traffic management systems, which take advantage of the vehicle's abilities to sense and communicate, has increased. A considerable amount of literature has been published on managing traffic that includes only autonomous vehicles. However, changing all vehicles to autonomous versions is a long-term process. In the near future, traffic will be a mixture of human-driven and autonomous vehicles. To date, few studies have investigated mixed traffic in intelligent management systems. The main objective of this research is to study the possibility of using a vehicle-mounted camera to sense and collect the required traffic data of the surrounding vehicles in mixed traffic. To achieve this, a vehicle with a monocular camera is used to collect image information for detecting and counting the vehicles in different lanes and estimating their distance and speed on the defined route. The results indicate that our proposed image processing algorithms can acquire the information needed for intelligent traffic management systems. © 2019 IEEE.

关键词： image processing

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Research on Panoramic image processing Technology Based on Virtual Reality Technology

Research on Panoramic Image Processing Technology Based on V...

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2019虚拟现实与智能系统国际会议

作者： Wang Chunmei School of Automation and Electrical Engineering Linyi University

ISBN: (纸本)9781728150505

Virtual reality technology is a modern advanced computer simulation technology,which can build a supercompelling virtual environment and let users experience these virtual ***,in this scenario,the simulation system of entity behavior can also make users feel really immersed in the virtual *** the same time,the application of virtual reality technology has studied and developed a variety of technologies,such as computer image processing,computer simulation,sensors,*** feeling of freely communicating with things in a virtual *** topic mainly studies the important panoramic image processing technology in virtual reality technology,and elaborates and analyses the current mainstream panoramic processing algorithms in detail,and discusses the effect of these panoramic processing algorithms,hoping to give other experts and scholars who study virtual reality technology a little *** resources.

关键词： Virtual reality technology Panoramic image Network technology

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6th International conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2019

6th International Conference on Computer Science, Applied Ma...

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6th International conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2019

ISBN: (纸本)9783030383633

The proceedings contain 37 papers. The special focus in this conference is on International conference on Computer Science, Applied Mathematics and Applications . The topics include: Assessment of the Water Area in the Lowland Region of the Mekong River Using MODIS EVI Time Series;palmprint Recognition Using Discriminant Local Line Directional Representation;a New Solution Method for a Mean-Risk Mixed Integer Nonlinear Program in Transportation Network Protection;speech Assessment Based on Entropy and Similarity Measures;deep Clustering with Spherical Distance in Latent Space;a Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting;Fusing of Deep Learning, Transfer Learning and GAN for Breast Cancer Histopathological image Classification;Attentive biLSTMs for Understanding Students’ Learning Experiences;computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks;an Intensive Empirical Study of Machine Learning algorithms for Predicting Vietnamese Stock Prices;improvement of Production Layout in the Furniture Industry in Indonesia with the Concept of Group Technology;reinforcement Learning in Stock Trading;a Survey on Forecasting Models for Preventing Terrorism;a Novel Approach for Travel Time Optimization in Single-Track Railway Networks;on the Design of a Privacy Preserving Collaborative Platform for Cybersecurity;secure and Robust Watermarking Scheme in Frequency Domain Using Chaotic Logistic Map Encoding;an Improvement of Applying Multi-objective Optimization Algorithm into Higher Order Mutation Testing;belief Merging for Possibilistic Belief Bases;discrete Time Sliding Mode Control of Milling Chatter;efficient processing of Recursive Joins on Large-Scale Datasets in Spark;DCA with Successive DC Decomposition for Convex Piecewise-Linear Fitting;preface.

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Methods of spatial and temporal processing of images in optoelectronic control systems

Methods of spatial and temporal processing of images in opto...

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International conference on Innovations and Prospects of Development of Mining Machinery and Electrical Engineering 2019, IPDME 2019

作者： Makhov, V.E. Shaldaev, S.E. A.F. Mozhaisky Military Space Academy 13 Zhdanovskaya Str. St. Petersburg197082 Russia

The data about the effect of image quality on accuracy of information parameters are presented. Studies on accuracy of measuring characteristics of objects in their images depending on image quality are described. Studies showed that accuracy of measurement algorithms improves with an increase in sample sizes of frames in the optoelectronic system (OES). image quality is improved by processing the frame samples with algorithms for increasing resolution and reducing noise levels, both in single-point and multi-position OESs based on digital cameras with matrix photodetectors. The maximum effect of an increase in information content of the image and accuracy of measuring algorithms is determined by variations in the pixel structure of each image in the region of brightness gradient boundaries. In the single-point OESs which ensure high quality of optical images without noise factors and variations of other external parameters, the optimal number of frames in the OES is four. © 2019 Published under licence by IOP Publishing Ltd.

关键词： image quality

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Annotated 360-Degree image and Video Databases: A Comprehensive Survey 13

Annotated 360-Degree Image and Video Databases: A Comprehens...

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13th IEEE International conference on Signal processing and Communication systems (ICSPCS)

作者： Elwardy, Majed Zepernick, Hans-Jurgen Sundstedt, Veronica Blekinge Inst Technol SE-37179 Karlskrona Sweden

ISBN: (纸本)9781728121949

The advances in 5G mobile networks are expected to enable immersive interconnected mobile multimedia systems. As humans are the final judges of the quality of immersive multimedia, it is essential to engage a suitable ground truth in the design of such systems. Databases annotated with results from subjective tests constitute such ground truth given as opinion scores, head movements, eye tracking data, psychophysiological data, and other data related to the viewers' behavior. On this basis, perception-based quality assessment of algorithms, systems, and services can be performed, and objective perceptual quality models can be developed. In this paper, a comprehensive survey of publicly available annotated 360-degree image and video databases is provided. The survey may guide the selection of ground truth on 360-degree images and videos to support quality assessment and modeling research. Further, the survey reveals the need for establishing new annotated databases that address the full range of subjective aspects of immersive multimedia.

关键词： Immersive multimedia 360-degree images 360-degree videos ground truth annotated databases

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A Novel Design and Implementation of Imaging Chip Using Axi Protocol for MPSOC on FPGA 2nd

A Novel Design and Implementation of Imaging Chip Using AXI ...

引用

2nd conference on Computational Methods in systems and Software (CoMeSySo)

作者： Archana, H. R. Patel, K. S. Vasundara BMS Coll Engn Dept Elect & Commun Engn Bengaluru India

ISBN: (纸本)9783030001841;9783030001834

The medical images are the main source for analysis of diseases. These images are having visual quality (VQ) issues like contrast, glare, noise etc, which restricts the proper analysis of disease. In order to overcome these image related issues, various techniques are presented in last decade. Digital image enhancement (IE) is the technique which improves the VQ of the image. The IF converts the desired image as image with particular VQ for an application. This paper introduces a novel approach of IF using Field Programmable Gate Array (FPGA) by implementing the different algorithms (brightness control, contrast adjustment, thresholding, negative transformation, filtering) for brain imaging. The proposed IF technique implements the Multi-Processor System on Chip (MPSoC) over FPGA. The MPSoC is distinct computer architecture while FPGA is hardware where the image processing algorithms can be implemented properly. The proposed IF methodology assures the low cost system with high accuracy. The proposed technique is incorporated with Advanced Microcontroller Bus Architecture (AMBA) which provides the interface for communication among master and slave module.

关键词： Field Programmable Gate Array (FPGA) image enhancement Medical image Video quality Multi-Processor System on Chip (MPSoC)

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Auxiliary Pathological Analysis Based on Classification and Recognition of Electronic Gastroscope images

Auxiliary Pathological Analysis Based on Classification and ...

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International conference on Intelligent Computation Technology and Automation, ICICTA

作者： Zhang Mao Zhaotong Health Vocational College ZhaoTong China

In this paper, a computer-aided lesion detection method based on gastroscope image is proposed to improve the efficiency and accuracy of conventional gastroscopy. Considering that the mainstream image processing algorithms are not suitable for the region extraction of gastroscope image, this paper adopts a simpler and faster color feature extraction method with the characteristics of large changes between pixels. At the same time, a variety of feature combinations are used to replace the single feature, and the two-level series classifier is used to perform the de-interference and lesion detection steps in series. Finally, the design and implementation of gastroscope pathology auxiliary recognition system is completed in the relevant test. The results show that the recognition method based on classification detection is significantly better than the traditional machine learning classification method in the classification and recognition of precancerous diseases, and it has a significant improvement in accuracy compared with the deep learning model

关键词： Deep learning Pathology image recognition Automation image color analysis Computational modeling Feature extraction

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Application of Internet of Things to Live Logging of Chinese Chess

Application of Internet of Things to Live Logging of Chinese...

引用

International conference on Signal processing and Integrated Networks (SPIN)

作者： Jiatu Wen Zixuan Liu Zhihong Shen Duan Wang John J. Healy Department of Computer Science City University of Hong Kong Hong Kong China School of Computing Newcastle University Newcastle-Upon-Tyne United Kingdom Viterbi School of Engineering University of Southern California California USA Department of Electrical and Electronic Engineering University of Nottingham Nottingham United Kingdom School of Electrical and Electronic Engineering University College Dublin Dublin Ireland

ISBN: (数字)9781728154756

ISBN: (纸本)9781728154763

The Internet of Things embeds electronics in everyday devices to enable new products and services. Board games such as Chinese chess (xiàngqí) are a useful test case, as they pose a limited problem with well defined goals. In this paper, we report on two approaches to live logging of xiàngqí games. One approach uses a camera phone, image processing and a convolutional neural network, while the other embeds magnets in the pieces and Hall effect sensors into the board. Both approaches permit the live transmission of a game using a web server. Game clocks were also constructed and integrated into the systems.

关键词： Games Training Cameras image processing Convolution Kernel

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Dynamic Load Balancing of Multiple Controller based on Intelligent Collaboration in SDN

Dynamic Load Balancing of Multiple Controller based on Intel...

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Computer Vision, image and Deep Learning (CVIDL), International conference on

作者： Shike Yang Haobin Shi Hengsheng Zhang The Twentieth Research Institute of China Electronic Technology Group Corporation Xi’an China Northwestern Polytechnical University Xi’an China

ISBN: (数字)9781728194813

ISBN: (纸本)9781728194820

In order to solve the problem of switch migration conflict caused by system performance difference and frequent communication in SDN multiple controller load balancing process, a multiple domain controller cluster is established by considering the real-time load and communication consumption of the controller. In each domain, the switch in the overload controller is moved to the lighter controller by adopting a request response model combined with an improved SARSA reinforcement learning algorithm for balancing the load of the system. In this way, the load balance among multiple controllers is achieved, and the load capacity of the system is improved. The simulation experiment shows the feasibility of the proposed method.

关键词： Control systems Switches Load management Process control Servers Load modeling Heuristic algorithms

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Design of human-like behavior learning machine based on neural network FPGA

Design of human-like behavior learning machine based on neur...

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2019 International conference on Applied Machine Learning and Data Science, ICAMLDS 2019

作者： Tang, Ming Hao, Shengli Xi'an Peihua University Xi'an China

Neural network has been widely used in image recognition, because it can imitate the behavior of biological visual nerve to obtain high recognition accuracy. Aiming at image recognition, this paper studies the machine self-learning system of image recognition results based on neural network FPGA, designs the data sensing and image recognition processing module based on neural network, and studies the key problems of the system self-recognition and machine self-learning process. The image recognition module uses bionics and parallax principle to get the synchronous exposure image of surrounding scenery, reconstruct the three-dimensional shape and position of surrounding objects, and get the information needed by the system design through image processing algorithm. On the basis of this module, a machine self-learning algorithm based on the result of image recognition is designed to build a knowledge base for the machine and guide the machine by modifying the weight and making decision to realize human-like behavior of machine self-learning. The experimental results show that the recognition accuracy of dynamic image recognition in image recognition network is about 80% compared with the corresponding static image recognition, and the time and power consumption are reduced by 24%, 27.8% and 41% respectively. © Published under licence by IOP Publishing Ltd.

关键词： Knowledge based systems

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