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检索条件"任意字段=17th Image Processing: Algorithms and Systems Conference, IPAS 2019"

共 249 条记录，以下是71-80 订阅

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Multi-objective optimization on multistage half-band FIR filter design using simulated annealing algorithm 21

Multi-objective optimization on multistage half-band FIR fil...

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21st IEEE International conference on High Performance Computing and Communications, 17th IEEE International conference on Smart City and 5th IEEE International conference on Data Science and systems, HPCC/SmartCity/DSS 2019

作者： Zhang, Jin Hu, Wei Wang, Yonghao Zhu, Xiangyu College of Computer Science and Technology Wuhan University of Science and Technology China Hubei Province Key Laboratory of Intelligent Information Processing Real-time Industrial System Wuhan China Digital Media Technology Lab Birmingham City University Birmingham United Kingdom

ISBN: (纸本)9781728120584

the design of a finite impulse response (FIR) digital filter is essentially a multi-parameter and multi-objective optimization problem, different optimization techniques can be utilized to minimize the latency in the live audio processing chain by minimization or maximization of the objective function. Using cascaded FIR filters as anti-aliasing and anti-image filters for high-resolution audio conversion are common. We can optimize the parameters of each stage to achieve the overall performance requirements. the method of modified Simulated Annealing (SA) Algorithm is proposed to resize the best distribution of passband ripple, transition band and stopband attenuation for each level of Multi-stage filter. It shows the proposed a new multi-stage filter design method improves the efficiency of the designed filter in terms of filter cost and group delay comparing with traditional design. © 2019 IEEE.

关键词： FIR filters

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Systolic algorithms and architectures for high-throughput processing applications

Systolic algorithms and architectures for high-throughput pr...

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17th IEEE International conference on Application-Specific systems, Architectures and Processors

作者： Yao, Kung Lorenzelli, Flavio Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90095 USA STMicroelect Zerodue Milan Italy

In this paper we survey a number of linear algebra algorithms that are used in many modern real-time high-throughput applications. We focus in particular on algorithms that are used in applications as diverse as adaptive filtering/beamforming, communications, signal/array processing, control, etc. We first consider least-squares estimation, QR decomposition, singular value decomposition, recursive least-squares estimation, and Kalman filtering algorithms. In particular, the QR decomposition which is used in least-squares solutions of linear system of equations, also forms one component of more complex algorithms such as Kalman filtering and the singular value decomposition. Systolic arrays, due to their modularity and regularity, are perfect matches for all the algorithms considered in this paper. All these problems are defined and described alongside the systolic algorithms and the architectures that implement them.

关键词： systolic array least-squares estimation recursive least-squares estimation QR decomposition Kalman filtering linear algebra

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Automatic Brightness Adjustment System by Fuzzy Inference System for Object Recognition 17

Automatic Brightness Adjustment System by Fuzzy Inference Sy...

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Joint 17th World Congress of International-Fuzzy-systems-Association / 9th International conference on Soft Computing and Intelligent systems (IFSA-SCIS)

作者： Kim, Eun Kyeong Lee, Hansoo Kim, Sungshin Cho, Hyunhak Pusan Natl Univ Dept Elect & Comp Engn Busan South Korea Pusan Natl Univ Dept Interdisciplinary Cooperat Course Robot Busan South Korea

ISBN: (纸本)9781509049172

A camera has been widely used in practical fields with a diversity of purposes recently. there is a variety purpose of photography: images for memory, medical images for diagnosis, images for object recognition, surveillance images, and so on. In case of images for object recognition, the clarity of images is necessary to analyze the images which are obtained using vision sensors. However, a brightness of the image highly depends on the intensity of illumination in the certain environment. therefore, we propose a method to solve the problems mentioned above by adjusting brightness automatically by utilizing CIE L*a*b* color space and fuzzy inference system. At first, the proposed method adjusts the brightness of a given image by considering both RGB component and L component of CIE L*a*b* color space. Secondly, the proposed method applies the fuzzy inference system to determine adjustment coefficients of each pixel for adjusting brightness of the image. through the processes as mentioned above, we can obtain the result which is adjusted its brightness. To verify the proposed method, we compare the result image with two different images, a reference image, and an adjusted image by using offset. It is confirmed that the proposed method can adjust a given image efficiently and automatically.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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thematic Mapping and Evaluation of Temporary Sequence of Multi-zone Satellite images 17th

Thematic Mapping and Evaluation of Temporary Sequence of Mul...

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17th Russian conference on Artificial Intelligence (RCAI)

作者： Dementiev, Vitaliy Frenkel, Andrey Kondratiev, Dmitriy Streltsova, Anastasia Ulyanovsk State Tech Univ Ulyanovsk Russia

the goal of this paper is to present and compare algorithms for thematic mapping of multispectral satellite images. the paper proposes a nonlinear multi-dimensional filter to combine the results of processing of sever... 详细信息

ISBN: (纸本)9783030307639;9783030307622

关键词： Earth remote sensing Satellite monitoring image sequence processing Least squares method Segmentation

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Factorization with uncertainty and missing data: exploiting temporal coherence

Factorization with uncertainty and missing data: exploiting ...

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17th Annual conference on Neural Information processing systems (NIPS)

作者： Gruber, A Weiss, Y Hebrew Univ Jerusalem Sch Comp Sci & Engn IL-91904 Jerusalem Israel

ISBN: (纸本)0262201526

the problem of "Structure From Motion" is a central problem in vision: given the 2D locations of certain points we wish to recover the camera motion and the 3D coordinates of the points. Under simplified camera models, the problem reduces to factorizing a measurement matrix into the product of two low rank matrices. Each element of the measurement matrix contains the position of a point in a particular image. When all elements are observed, the problem can be solved trivially using SVD, but in any realistic situation many elements of the matrix are missing and the ones that are observed have a, different directional uncertainty. Under these conditions, most existing factorization algorithms fail while human perception is relatively unchanged. In this paper we use the well known EM algorithm for factor analysis to perform factorization. this allows us to easily handle missing data and measurement uncertainty and more importantly allows us to place a prior on the temporal trajectory of the latent variables (the camera position). We show that incorporating this prior gives a significant improvement in performance in challenging image sequences.

关键词： image enhancement

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QBS-tree: A spatial index with high update efficiency for real-time processing system 21

QBS-tree: A spatial index with high update efficiency for re...

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作者： Zhang, Zonglei Fang, Junhua Chen, Wei Zhang, Detian Liu, An Li, Zhixu School of Computer Science Technology Soochow University Suzhou China

ISBN: (纸本)9781728120584

Along with the popularization of big data applications, real-time data analysis is playing an increasingly important role in data analytic applications. the distributed parallel processing framework is a good choice for real-time big data processing, since it provides an effective solution which facilitates processing of massive data stream with low latency. Furthermore, among the real-time applications, location based service is recognized as the most challenging one, especially under expectation on fast response to distribution change and minimal resource consumption. We find that the fundamental reason for this is that the index performance is a stumbling block. Specifically, the original intention of index design is to speed up retrieval speed;in other words, the index is more useful for operations that have more queries than updates. However, in the distributed parallel processing framework, each incoming tuple is both a query request and an update request. In this paper, we propose a new tree index, quad balanced space tree called QBS-tree, to solve this problem, with practical algorithms to support dynamic index items assignment for distributed parallel processing framework. Specifically, make tree index's tolerability to the index items' unbalanced distribution in space be more resilient through a configurable balance factor. In addition, through the lazy update mechanism, let some updates offset each other and the upper node's update covers the underlying node's. Experiments show that QBS-tree responds to a new tuple 1300 times faster than the traditional tree index. © 2019 IEEE.

关键词： Location based services

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Integrated Spoofing Countermeasures and Automatic Speaker Verification: an Evaluation on ASVspoof 2015 17

Integrated Spoofing Countermeasures and Automatic Speaker Ve...

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17th Annual conference of the International-Speech-Communication-Association (INTERSPEECH 2016)

作者： Sahidullah, Md Delgado, Hector Todisco, Massimiliano Yu, Hong Kinnunen, Tomi Evans, Nicholas Tana, Zheng-Hua Univ Eastern Finland Sch Comp Speech & Image Proc Unit Kuopio Finland EURECOM Dept Digital Secur Biot France Aalborg Univ Dept Elect Syst Signal & Informat Proc Aalborg Denmark

ISBN: (纸本)9781510833135

It is well known that automatic speaker verification (ASV) systems can be vulnerable to spoofing. the community has responded to the threat by developing dedicated countermeasures aimed at detecting spoofing attacks. Progress in this area has accelerated over recent years, partly as a result of the first standard evaluation, ASVspoof 2015, which focused on spoofing detection in isolation from ASV. this paper investigates the integration of state-of-the-art spoofing countermeasures in combination with ASV. Two general strategies to countermeasure integration are reported: cascaded and parallel. the paper reports the first comparative evaluation of each approach performed with the ASVspoof 2015 corpus. Results indicate that, even in the case of varying spoofing attack algorithms, ASV performance remains robust when protected with a diverse set of integrated countermeasures.

关键词： Automatic speaker recognition spoofing countermeasures presentation attack detection

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Real-Time Obstacle Detection using Stereo Vision for Autonomous Ground Vehicles: A Survey 17

Real-Time Obstacle Detection using Stereo Vision for Autonom...

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IEEE 17th International conference on Intelligent Transportation systems (ITSC)

作者： Bernini, Nicola Bertozzi, Massimo Castangia, Luca Patander, Marco Sabbatelli, Mario Univ Parma VisLab Dipartimento Ingn Informaz I-43100 Parma Italy

ISBN: (纸本)9781479960781

One of the most important features for any intelligent ground vehicle is based on how is reliable and complete the perception of the environment and the capability to discriminate what an obstacle is. Obstacle Detection (OD) is one of the most widely discussed topics in literature. Many approaches have been presented for different application fields and scenarios;in last years most of them have been revisited using stereo vision or 2D/3D sensor technologies. In this paper we present a brief survey about Obstacle Detection techniques based on stereo vision for intelligent ground vehicles, describing and comparing the most interesting approaches. In order to provide a generic overview of these techniques, it has been decided to focus the study only on the algorithms that have provided a major contribution through real-time experiments in unsupervised scenarios.

关键词： object detection road vehicles stereo image processing traffic engineering computing 2D sensor technologies 3D sensor technologies autonomous ground vehicles intelligent ground vehicle real-time obstacle detection stereo vision Equations Estimation Mathematical model Real-time systems Roads Stereo vision three-dimensional displays

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A Genetically Optimized Graph-based People extraction method for embedded transportation systems real conditions 17

A Genetically Optimized Graph-based People extraction method...

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IEEE 17th International conference on Intelligent Transportation systems (ITSC)

作者： Coniglio, Christophe Meurie, Cyril Lezoray, Olivier Berbineau, Marion Univ Lille Nord France F-59000 Lille France IFSTTAR LEOST F-59650 Villeneuve Dascq France Normandie Univ UNICAEN ENSICAEN GREYC UMR CNRS 6072 Caen France

ISBN: (纸本)9781479960781

In this paper, we present a new method for people extraction in complex transport environments. Many background subtraction methods exist in the literature but don't give satisfactory results on complex images acquired in moving trains that include several locks such as fast brightness changes, noise, shadow, scrolling background, etc. To tackle this problem, a new method for people extraction in images is proposed. It is based on an image superpixel segmentation coupled with graph cuts binary clustering, initialized by a state-of-the-art foreground detection method. the proposed strategy is composed of four blocks. A pre-processing block that uses filters and colorimetric invariants to limit the presence of artifacts in images. A foreground detection block that enables to locate moving people in images. A post-treatment block that removes shadow regions of no-interest. A people extraction block that segments the image into SLIC superpixels and performs a graph cut binary clustering to precisely extract people. Tests are realized on a real database of the BOSS European project and are evaluated with the standard F-measure criteria. Since many state-of-the-art methods can be considered in our three first blocks along with many associated parameters, a genetic algorithm is used to automatically find the best methods and parameters of the proposed approach.

关键词： feature extraction genetic algorithms graph theory image colour analysis image segmentation statistical analysis traffic engineering computing transportation BOSS European project SLIC superpixel background subtraction method colorimetric invariant embedded transportation system foreground detection method genetic algorithm genetically optimized graph graph cuts binary clustering image superpixel segmentation people extraction method standard F-measure Brightness Databases Genetic algorithms image color analysis image segmentation Noise Optimization image colour analysis Genetic Algorithm (GA) image segmentation brightness inspection methods Graph theory Database Feature extraction Noise transport transport system Persons images engineering computing Statistical methods

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Minimum cost task assignment for vehicle-based crowdsensing with deterministic and nondeterministic trajectory 21

Minimum cost task assignment for vehicle-based crowdsensing ...

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作者： Tu, Meimei Li, Peng Zhang, Tao Zhou, Qiang Liu, Qin College of Computer Science and Technology Wuhan University of Science and Technology China Hubei Province Key Laboratory of Intelligent Information Processing Real-time Industrial System China Department of Computer Science New York Institute of Technology United States School of Cyber Science and Engineering Wuhan University China

ISBN: (纸本)9781728120584

Vehicle-based crowdsensing (VCS) is a special case in crowdsourcing, and task assignment is a basic and important problem. In this paper, we investigate the minimum cost task assignment (MCTA) problem for vehicle-based crowdsensing. the VCS platform hopes to recruit some vehicles to complete given spatial-temporal tasks with the minimum cost. As vehicle trajectories are dynamic, we divide the MCTA problem into two sub-problems, the deterministic trajectory (D-MCTA) problem, and nondeterministic trajectory (N-MCTA) problem. For D-MCTA problem, we prove that the D-MCTA problem is NP-hard, and we propose a greedy algorithm to solve this problem. For N-MCTA problem, firstly, we determine the probability of each vehicle's trajectory through the logistic regression method. then, we exploit the semi-Markov method to calculate the probability of each vehicle executing the task. Moreover, a greedy algorithm is proposed and the theoretical analysis is given. Finally, extensive simulations have been conducted to show the performance of our proposed algorithms is superior to the other algorithms. © 2019 IEEE.

关键词： Vehicles

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