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

共 15618 条记录，以下是4141-4150 订阅

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Performance Benchmarking of Drowsiness Detection Methods

Performance Benchmarking of Drowsiness Detection Methods

引用

IEEE SSD International Multi-conference on systems, Signals and Devices

作者： Jihen Hammedi Imène Ben Ameur Sadok Bazine Abdessalem Ben Abdelalli Electronics and Microelectronics Laboratory University Of Monastir Monastir Tunisia

ISBN: (数字)9781728110806

ISBN: (纸本)9781728110813

Almost half of the car accidents are caused by fatigue and the sleepiness of the driver. The purpose of our work is to propose a non-intrusive and real-time system for drowsiness detection based on facial expression analysis. In this paper, we will find a summary of some research work with a comparative study of performance to determine the most relevant method for detecting drowsiness. We will be particularly interested in analyzing prediction methods by supervising the eyes state of the driver using an image processing technique. The software simulation is performed via a C/C++ code for an I5 processor-based platform, a webcam, and a Linux operating system.

关键词： Webcams Software algorithms Transforms Real-time systems Software Pupils Vehicles

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Learning-Based Shape Estimation with Grid Map Patches for Realtime 3D Object Detection for Automated Driving

Learning-Based Shape Estimation with Grid Map Patches for Re...

引用

International conference on Intelligent Transportation

作者： Hendrik Königshof Christoph Stiller Intelligent Systems and Production Engineering FZI Research Center for Information Technology Karlsruhe Germany Institute of Measurement and Control Systems Karlsruhe Institute of Technology (KIT) Karlsruhe Germany

ISBN: (数字)9781728141497

ISBN: (纸本)9781728141503

3D object detection serves as a crucial basis of visual perception, motion prediction, and planning for automated driving. To apply an algorithm for this purpose, the detection of all types of road users in real-time is an essential condition. In this paper, we propose an approach that projects the 3D points of image-based bounding box proposals into so-called grid map patches. These patches are used to estimate the exact dimensions of the 3D box with the help of a lightweight CNN. The complete proposed processing chain is parallelized and implemented on a GPU. This makes our approach the fastest stereo-based 3D object detector on the KITTI benchmark while still achieving results that are within the range of the best image-based algorithms.

关键词： Three-dimensional displays Encoding Two dimensional displays Shape Object detection Estimation Training data

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A Strategy to Support Streaming Communication using the Intel HARPv2 Platform: A Case Study in Stereo vision Application

A Strategy to Support Streaming Communication using the Inte...

引用

Annual IEEE Northeast Workshop on Circuits and systems (NEWCAS)

作者： Lucas F. S. Cambuim Severino J. B. Júnior Edna N. S. Barros Center of Informatics - Federal University of Pernambuco Recife Brazil

ISBN: (数字)9781728170442

ISBN: (纸本)9781728170459

The CPU-FPGA heterogeneous architectures became an attractive option for developing hardware accelerators to process computer vision algorithms. In this paper, we improve the support for streaming processing on the Intel HARPv2 platform by proposing strategies such as data ordering, double buffer, and management of multiple memory addresses. We demonstrate the feasibility of this new strategy by a case study with a hardware implementation of the Semi-Global Matching (SGM) algorithm for stereo vision. With these strategies, we can process depth images with a resolution of 1920×1080 pixels achieving a processing rate of about 48 FPS. The processing performance overcomes the state-of-art CPU-FPGA heterogeneous architectures results for processing of the promissing SGM technique.

关键词： Hardware Software Stereo vision Field programmable gate arrays image resolution Registers Indexes

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Deep Learning for Control: a non-Reinforcement Learning view

Deep Learning for Control: a non-Reinforcement Learning View

引用

American Control conference

作者： Ion Matei Raj Minhas Maksym Zhenirovskyy Johan de Kleer Rahul Rai Palo Alto Research Center Inc. (PARC) University at Buffalo SUNY

ISBN: (数字)9781538682661

ISBN: (纸本)9781538682678

Deep learning platforms have become hugely popular due to their successes in natural language processing and image processing. Our objective is to show how deep learning platforms can be used for control problems. We do not make judgments about their performance as compared to traditional control approaches. We show that the main challenge when using deep learning platforms for learning control policies for nonlinear systems is ensuring the stability of the learning algorithm that depends on the stability of the closed loop system during the learning process. We discuss two approaches for overcoming the potential instability of the optimization algorithm, and showcase them in the context of learning a stabilizing controller for an inverted pendulum.

关键词： Optimization Stability analysis Machine learning Closed loop systems Mathematical model Heuristic algorithms Computational modeling

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A Technique to Reduce the processing Time of Defect Detection in Glass Tubes 1

引用

Computing conference, 2019

作者： De vitis, Gabriele Antonio Foglia, Pierfrancesco Prete, Cosimo Antonio Dipartimento di Ingegneria dell’Informazione Università di Pisa Pisa Italy

ISBN: (数字)9783030228712

ISBN: (纸本)9783030228705

The evolution of the glass production process requires high accuracy in defects detection and faster production lines. Both requirements result in a reduction in the processing time of defect detection in case of real-time inspection. In this paper, we present an algorithm for defect detection in glass tubes that allows such reduction. The main idea is based on the reduce the image areas to investigate by exploiting the features of images. In our experiment, we utilized two algorithms that have been successfully applied in the inspection of pharmaceutical glass tube: Canny algorithm and MAGDDA. The proposed solution, applied on both algorithms, doesn’t compromise the quality of detection and allows us to achieve a performance gain of 66% in terms of processing time, and 3 times in term of throughput (frames per second), in comparison with standard implementations. An automatic procedure has been developed to estimate optimal parameters for the algorithm by considering the specific production process. © 2019, Springer Nature Switzerland AG.

关键词： Inspection

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Rigid and Non-rigid Registration Algorithm Evaluation in MRI for Breast Cancer Therapy Monitoring 6th

Rigid and Non-rigid Registration Algorithm Evaluation in MRI...

引用

6th International conference on Information Technology in Biomedicine (ITIB)

作者： Bzowski, Pawel Danch-Wierzchowska, Marta Psiuk-Maksymowicz, Krzysztof Panek, Rafal Borys, Damian Silesian Tech Univ Inst Automat Control Akad 16 PL-44100 Gliwice Poland Silesian Tech Univ Ctr Biotechnol Krzywoustego 8 PL-44100 Gliwice Poland Nottingham Univ Hosp Darby Rd Nottingham NG7 2UH England

ISBN: (纸本)9783319912110

One of the most common methods in breast cancer radiotherapy planning is Magnetic Resonance Imaging (MRI). It is also used for patient evaluation during treatment because of its sensitivity and lack of ionizing radiation. During each imaging session a patient position can be different and inaccuracies can occur. In this case it is very difficult to compare two image sets originating from different patient examination. The main goals of this work were to implement an algorithm, based on affine transformation with Mutual Information as the quality factor of images match and the method based on the Navier-Lame equation for elastic image co-registration. The rigid transformation is used for the preliminary processing, and the non-rigid transformation allows for successful co-registration of both image sets. Our results were evaluated visually, and the MI indices were calculated. These algorithms allowed for image co-registration in different imaging sessions during the course of treatment.

关键词： MRI image processing image registration Breast imagining

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Parallel Computing in Deep Learning: Bioinformatics Case Studiesa 27

Parallel Computing in Deep Learning: Bioinformatics Case Stu...

引用

27th Euromicro International conference on Parallel, Distributed and Network-Based processing, PDP 2019

作者： Giansanti, Valentina Beretta, Stefano Cesini, Daniele D'Agostino, Daniele Merelli, Ivan Italy University of Milano-Bicocca Department of Informatics Systems and Communication Italy CNAF Section Italian Institute for Nuclear Physics Bologna Italy Institute for Applied Mathematics and Information Technologies 'E. Magenes' National Research Council of Italy Genoa Italy

ISBN: (纸本)9781728116440

In the last two decades deep learning has attracted a lot of attention internationally, solving problems in different application domains and achieving results beyond expectations. For example it has been applied in bioinformatics, game playing, imaging processing, object detection, robotic and drug discovery. One of the main reasons for the incremented use of deep learning algorithms is the need to implement approaches for the analysis of the large amount of data produces in every field, bringing researchers to dedicate their work to deep learning development. One of the main topics discussed up today is the possibility to run the training of deep models in a parallel fashion, so to reduce the time otherwise needed to find the hyperparameters and to make the achievement of the result faster. © 2019 IEEE.

关键词： Bioinformatics

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Enhanced Saliency Prediction via Orientation Selectivity

Enhanced Saliency Prediction via Orientation Selectivity

引用

IEEE visual Communications and image processing (VCIP)

作者： Peng Ye Yongfang Wang Yumeng Xia School of Communication and Information Engineering Shanghai University Shanghai China Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai China

ISBN: (数字)9781728180687

ISBN: (纸本)9781728180694

Saliency prediction can be treated as the activity of the human visual system (HVS). The most effective method should highly approximate the response of HVS to the perceived information. Motivated by that orientation selectivity (OS) mechanism occuring in primary visual cortex (PVC) tells us how the HVS extracts visual information for scene understanding, we propose a novel saliency model by combining an orientation selectivity based local feature called "excitement" map and a visual acuity based global feature called "acuity" map. Further, a saliency augmented operator based on visual error sensitivity is designed to enhance the saliency map. Experimental results on three benchmark databases demonstrate the superior performance of the proposed method compared to ten classical/ state-of-the-art algorithms.

关键词： visualization Feature extraction Sensitivity Predictive models image edge detection Computational modeling visual systems

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Marker Based Pedestrian Detection Using Augmented Reality 19

Marker Based Pedestrian Detection Using Augmented Reality

引用

Proceedings of the 2019 3rd International conference on Advances in image processing

作者： Chanyong Kim Hyojin Kim Huiseung Son Muhammad Tanseef Shahid Hyun Chul Song Francesco Piccialli Kwang Nam Choi Dept of computer science and engineering Chung-Ang University Seoul South Korea Dept. of computer science and engineering Chung-Ang University Seoul South Korea Dept. of Electrical Engineering and Information Technology University of Naples Federico II Italy

ISBN: (纸本)9781450376754

Pedestrian detection is a popular research topic from the last decade. Most of the pedestrian identification models are based on face recognition algorithms. It is a difficult task to detect and track individual pedestrians based on these algorithms because there is a compulsion that their faces should be towards the camera. This limitation makes face recognition algorithms inefficient to detect pedestrians from the backsides. In this paper, we proposed a method for pedestrian detection using marker recognition. Multiple pedestrians are detected and then tracked based on markers attached to their backsides. Attaching markers on back-side of pedestrians helps to recognize them even when they are looking the other way. After the marker is recognized, the unique character related to that marker is displayed as a 3D object. This marker-based pedestrian detection is carried out using a mobile phone system and can be applied to embedded systems. The proposed method makes it possible to recognize up to three pedestrians located at different positions from the camera.

关键词： Marker Recognition image processing Augmented Reality Pedestrian Detection

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Research on 3D Reconstruction in Binocular Stereo vision Based on Feature Point Matching Method

Research on 3D Reconstruction in Binocular Stereo Vision Bas...

引用

International conference on Information systems and Computer Aided Education (ICISCAE)

作者： Xiaobin Lin Jianxing Wang Chen Lin Minjiang University Fuzhou China

ISBN: (数字)9781728183046

ISBN: (纸本)9781728194608

Computer vision as an important branch of computer science and artificial intelligence has made rapid progress in the past thirty years. Binocular stereo vision is one of the most important parts in computer vision. Binocular stereo vision can well simulate human eyes stereoscopic perception of three-dimensional objects, and has been widely used in various fields of industrial automation production and practical life. Binocular stereo vision technology is a comprehensive technology, whose knowledge includes optics, physics, image processing, computer, artificial intelligence and electronic technology, and other fields of content. Camera calibration and feature point matching are difficult and key points in binocular stereo vision technology. In this paper, the 3D reconstruction of binocular stereo vision based on feature point matching method is discussed. The main research includes the following contents: binocular stereo vision system principle, feature matching algorithm research and 3D reconstruction system implementation. This project puts forward a set of feasible algorithms and finally can get a good three-dimensional reconstruction effect based on the analysis and research of a series of algorithms.

关键词： Computer vision Three-dimensional displays Cameras Stereo vision Calibration Artificial intelligence image reconstruction

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