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30th IEEE/CVF conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Lee, Chan-Su Yeungnam Univ Dept Elect Engn 280 Daehak Ro Gyongsan 38541 Gyeongbuk Do South Korea

ISBN: (纸本)9781538607336

This paper presents a new framework for human action classification using a tensor dynamical model of human action from 3-dimensional (3D) volume sequences and distance measurement on Grassmann manifold. The tensor dynamical model is an extension of linear dynamical models for multi-dimensional sequence analysis. Each sub-dimensional linear dynamic model is estimated from tensor sequences using an iterative expectation-maximization (EM) algorithm after projection of tensor sequence to each dimensional axis. The combination of distances on Grassmann manifold of linear dynamic systems in each dimension of the tensor dynamic model provides similarity measurement between two tensor dynamical systems. The proposed approach can be applied to 3D depth or convex hull data as well as 2D video image sequences. Experimental results show good performance in human action recognition from INRIA multiview human action database.

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

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Adaptive Topology Decomposition for Storm

Adaptive Topology Decomposition for Storm

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International conference on Electrical Engineering and Informatics (ICELTICs)

作者： Xie, Cheng Qian, Liang Ding, Lianghui Yang, Feng Shanghai Jiao Tong Univ Inst Wireless Commun Technol Shanghai 200240 Peoples R China Shanghai Jiao Tong Univ Inst Image Commun & Network Engn Shanghai 200240 Peoples R China

ISBN: (纸本)9781538629345

Real-time computing system attracts more and more attention in both academic researches and industrial applications. One of the real-time computing systems, Apache Storm, because of its characteristics of stream processing and high fault tolerance, is widely used for machine learning and distributed remote process call (RPC), etc. However, the existing approaches to decompose topology for Storm cannot ensure an optimized performance. In this paper, we propose an adaptive topology decomposition algorithm for Storm where topology decomposition based on cluster status and components of topology can be performed at run time. We have evaluated the processing performance and the load balancing of the algorithm. The evaluation results indicate that the proposed algorithm has better performances on task processing and load-balancing than the existing algorithms.

关键词： Storm real-time cloud computing decomposition load balancing

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Efficient Schur parametrization of near-stationary stochastic processes

Efficient Schur parametrization of near-stationary stochasti...

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International conference on systems, Signals and image processing, IWSSIP

作者： Agnieszka Wielgus Jan Zarzycki Department of Signal Processing Systems Faculty of Electronics Wroclaw University of Science and Technology Wroclaw Poland

ISBN: (纸本)9781509063451

We present efficient Schur parametrization algorithms for a subclass of near-stationary second-order stochastic processes which we call p-stationary processes. This approach allows for complexity reduction of the general linear Schur algorithm in a uniform way and results in a hierachical class of the algorithms, suitable for efficient implementations, being a good starting point for nonlinear generalizations.

关键词： Covariance matrices Stochastic processes Complexity theory Signal processing algorithms DH-HEMTs image processing Hilbert space

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Face Recognition Performance Under Aging 30

Face Recognition Performance Under Aging

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30th IEEE/CVF conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Deb, Debayan Best-Rowden, Lacey Jain, Anil K. Michigan State Univ E Lansing MI 48824 USA

ISBN: (纸本)9781538607336

With the integration of face recognition technology into important identity applications, it is imperative that the effects of facial aging on face recognition performance are thoroughly understood. As face recognition systems evolve and improve, they should be periodically re-evaluated on large-scale longitudinal face datasets. In our study, we evaluate the performance of two state-of-the-art commercial off the shelf (COTS) face recognition systems on two large-scale longitudinal datasets of mugshots of repeat offenders. The largest of these two datasets has 147,784 images of 18,007 subjects with an average of 8 images per subject over an average time span of 8.5 years. We fit multi-level statistical models to genuine comparison scores (similarity between images of the same face) from the two COTS face matchers. This allows us to analyze the degradation in recognition performance due to elapsed time between a probe (query) and its enrollment (gallery) image. We account for face image quality to obtain a better estimate of trends due to aging, and analyze whether longitudinal trends in genuine scores differ by subject gender and race. Based on the results of our statistical model, we infer that the state-of-the-art COTS matchers can verify 99% of the subjects at a false accept rate (FAR) of 0.01% for up to 10.5 and 8.5 years of elapsed time. Beyond this time lapse of 8.5 years, there is a significant loss in face recognition accuracy. This study extends and confirms the findings of earlier longitudinal studies on face recognition.

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

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Impulsive Stabilization of Positive systems with Time-varying Delays 13

Impulsive Stabilization of Positive Systems with Time-varyin...

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13th IEEE International conference on Control & Automation (ICCA)

作者： Hu, Meng-Jie Wang, Yan-Wu Li, Bo Hu, Xiao-Ya Wang, Xiao-Ping Huazhong Univ Sci & Technol Sch Automat Wuhan 430074 Hubei Peoples R China Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Wuhan Hubei Peoples R China China Three Gorges Univ Minist Educ Hubei Prov Collaborat Innovat Ctr New Energy Micr Yichang Hubei Peoples R China Northeast Elect Power Univ Sch Automat Engn Jilin 132012 Jilin Peoples R China

ISBN: (纸本)9781538626795

This study investigates the impulsive stabilization problem of positive systems with time-varying delays. A new time-varying weighted copositive Lyapunov function is constructed. Sufficient stabilization conditions on the upper and lower bounds of impulsive intervals are established using the convex combination technique. Under the proposed conditions, the positivity and exponential stability of the corresponding closed-loop system can be guaranteed. Based on the linear programming (LP) technique, a systematic design procedure is presented for the impulsive controller. Finally, a numerical example is provided to demonstrate the effectiveness of the theoretical result.

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

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Automated image Quality Assessment for Certificates and Bills 1

Automated Image Quality Assessment for Certificates and Bill...

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1st IEEE International conference on Cognitive Computing (ICCC)

作者： Jiang, Fei Zhang, Liang-Jie Chen, Huan Natl Engn Res Ctr Supporting Software Enterprise Shenzhen Peoples R China Kingdee Int Software Grp Co Ltd Kingdee Res Shenzhen Peoples R China

ISBN: (纸本)9781538620083

Auditing of certificates and bills images is pervasive in ERP systems. However, the scanned or camera-captured images sending to an ERP system are not always of good quality. In order to automate the auditing of certificates and bills, and to alleviate the low recognition rate caused by the low quality image in all kinds of certificates and bills automatic analysis and processing system, this paper proposes a method for detecting and filtering out images with low quality, leaving only high quality images, to improve the recognition rate of the auditing of certificates and bills. Unlike other image quality assessment algorithms, which only deal with the blur or noise, the proposed method comprehensively and practically considers a variety of key factors (clarity, color-bias, noise, abnormal brightness areas etc.) which affect the image quality in the process of certificates and bills assessment. The method is applied to detect image quality in certificates and bills automatic verification system, and has achieved good unbiasedness and high sensitivity in real-world ERP applications.

关键词： image quality certificates and bills quality assessment visual system

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A physical-based atmospheric correction algorithm of unmanned aerial vehicles images and its utility analysis

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INTERNATIONAL JOURNAL OF REMOTE SENSING 2017年第8-10期38卷 3101-3112页

作者： Yu, Xiang Liu, Qing Liu, Xin Liu, Xiangyang Wang, Yebao Chinese Acad Sci Key Lab Coastal Zone Environm Proc Yantai Peoples R China Shandong Prov Key Lab Coastal Zone Environm Proc Yantai Peoples R China Chinese Acad Sci Yantai Inst Coastal Zone Res Yantai 264003 Peoples R China Qingdao Agr Univ Coll Resources & Environm Qingdao Peoples R China

Unmanned aerial vehicles (UAVs)-based environmental studies are gaining space in recent years due to their advantages of minimal cost, flexibility, and very high spatial resolution. Researchers can acquire imagery according to their schedule and convenience with the option of alternating the sensors working in visible, infrared, and microwave wavelengths. The recent developments in UAVs and in the associated image-processing techniques extend the fields of UAVs application. Inherent geometric deformation of UAVs images inevitably leads to burgeoning interest in exploring the geographical registration techniques of UAVs images preprocessing. However, atmospheric correction had been generally neglected due to the low altitudes of UAVs platforms. The path radiance of low-latitude atmosphere misleads the reflectance of target objects. Thus, a valid atmospheric correction is essential in the cases where vegetation indices (VIs) are adopted in vegetation monitoring. The off-the-shelf atmospheric correction algorithms adopted in satellite-based remote sensing are typically ill-suited for UAVs-based images due to the distinctly different altitudes and radiation transfer modes. This article identified the effect of atmospheric attenuation for spectral data collected by UAVs sensors of different altitudes and developed a physical-based atmospheric correction algorithm of UAVs images. Field-measured reflectance spectrum was essential in modelling. A sunny and dry day and a flat terrain were the two prerequisites to ensure the general application of the developed algorithm. A case study was subsequently carried out to verify the utility of the developed algorithm, and the results showed that VIs based on the UAVs images of different altitudes had a similar ability in vegetation assessment as groundbased recordings. However, the assessment accuracy could be clearly improved by using the developed atmospheric correction algorithm.

关键词： VEGETATION monitoring REMOTE sensing in environmental monitoring DRONE aircraft image processing NORMALIZED difference vegetation index ATMOSPHERIC attenuation REFLECTANCE spectroscopy

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Segmentation of colour image using fuzzy sets concept

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Journal of Physics: conference Series 2019年第3期1333卷

作者： R Kh Khamdamov E A Saliev N M Mirzaev S.N. Ibragimova Scientific and innovation center of information and communication technologies Tashkent university of information technologies named after Muhammad al-Khwarizmi 17A Buz-2 massif Tashkent 100125 Uzbekistan Department Computer systems Tashkent university of information technologies named after Muhammad al-Khwarizmi 108 Amir Temur street 108 Tashkent 100200 Uzbekistan

The article deals with the problem of segmentation of digital images, which is one of the main tasks in the field of digital image processing (IP) and computer vision. To solve this problem, an algorithm was proposed based on the use of a concept based on the theory of fuzzy sets. The main idea of the proposed algorithm is the formation of subsets of interconnected pixels based on the fuzzy-to-mean method. A distinctive feature of the proposed algorithm is the definition of a set of features that define areas with similar characteristics in the space of the characteristic features of the analyzed image. The proposed segmentation algorithm (SA) consists of two stages: 1) the formation of characteristic features for all channels of the base color; 2) clustering of image elements. The practical significance of the obtained results lies in the fact that the developed models of algorithms can be used in various applied problems, where the classification of objects represented as images is provided. To test the efficiency of the developed algorithm, experimental studies were carried out in solving a number of applied problems related to color image segmentation, in particular, license plate recognition problems.

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Automated image Analysis in Multispectral System for Cervical Cancer Diagnostic 20

Automated Image Analysis in Multispectral System for Cervica...

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20th conference of Open-Innovations-Association (FRUCT)

作者： Obukhova, Natalia A. Motyko, Alexandr A. Kang, Uk Bae, Soo-Jin Lee, Dae-Sic St Petersburg State Electro Tech Univ LETI St Petersburg Russia Korean Electrotechnol Res Inst Seoul South Korea

ISBN: (纸本)9789526865300

Uterine cervical cancer is the second most common cancer in women worldwide. The accuracy of colposcopy is highly dependent on the physicians individual skills. In expert hands, colposcopy has been reported to have a high sensitivity (96%) and a low specificity (48%) when differentiating abnormal tissues. This leads to a significant interest to activities aimed at the new diagnostic systems and new automatic methods of coloposcopic images analysis development. The presented paper is devoted to developing method based on analyses fluorescents images obtained with different excitation wavelength. The sets of images were obtained in clinic by multispectral colposcope LuxCol. The images for one patient includes: images obtained with white light illumination and with polarized white light;fluorescence image obtained by excitation at wavelength of 360nm, 390nm, 430nm and 390nm with 635 nm laser. Our approach involves images acquisition, image processing, features extraction, selection of the most informative features and the most informative image types, classification and pathology map creation. The result of proposed method is the pathology map - the image of cervix shattered on the areas with the definite diagnosis such as norm, CNI (chronic nonspecific inflammation), CIN(cervical intraepithelial neoplasia). The obtained result on the border CNI/CIN sensitivity is 0.85, the specificity is 0.78. Proposed algorithms gives possibility to obtain correct differential pathology map with probability 0.8. Obtained results and classification task characteristics shown possibility of practical application pathology map based on fluorescents images.

关键词： Pathology Biopsy image color analysis Algorithm design and analysis Biomedical imaging image analysis Feature extraction

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Reducing dimension of parametric space based on the approximation of components for interpolation of multidimensional signals

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Journal of Physics: conference Series 2019年第3期1368卷

作者： M V Gashnikov Samara National Research University Moskovskoe Shosse 34A Samara Russia 443086 Image Processing Systems Institute of RAS - Branch of the FSRC 'Crystallography and Photonics' RAS Molodogvardejskaya street 151 Samara Russia 443001

In this paper, we address the problem of parametric space dimension reduction in the interpolation of multidimensional signals task. We develop adaptive parameterized interpolation algorithms for multidimensional signals. We perform a dimension reduction of the parameter space to reduce the complexity of optimizing such algorithms. The dependences of the samples inside the signal sections and between the signal sections are taken into account in various ways to reduce the dimension. We consider the dependencies between the signal sections through the approximation algorithm for the sections. We take into account the sample dependencies inside sections due to an adaptive parameterized interpolation algorithm. As a result, we solve the optimization problem of an adaptive interpolator in the parameter space of lower dimension for each signal section separately. To study the effectiveness of adaptive interpolators, we perform computational experiments using real-world multidimensional signals. Experimental results showed that the proposed interpolator improves the efficiency of the compression method up to 10% compared with the prototype algorithm.

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