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2011 IEEE International conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011

作者： Xiao, Feng Yuchi, Ming Ding, Mingyue Jo, Jun Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Life College of Science and Technology Huazhong University of Science and Technology Wuhan China School of Information and Communication Technology Griffith University QLD Australia

ISBN: (纸本)9780769546230

Heart rate (HR) signal analysis is widely used in the medicine and medical research area. Physical activities (PA) are commonly recognized to greatly affect the changes of heart rate. A method of Evolutionary Neural Network - Neuro-evolution of Augmenting Topologies (NEAT) is used to build a PA-based HR predictor model. Through special coding, crossover and mutation operator, NEAT can implement network topology and connectivity weights evolution simultaneously. The common problem in evolutionary neural network, like competing conventions, how to protect the new innovation are effectively solved. The experimental results demonstrated the application potential of the approach. © 2011 IEEE.

关键词： Neural networks

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Human identification using body prior and generalized EMD

Human identification using body prior and generalized EMD

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IEEE International Conference on image processing

作者： Lianyang Ma Xiaokang Yang Yi Xu Jun Zhu Institute of Image Communication and Information Processing Shanghai Key Laboratories of Digital Media Processing and Communication Shanghai Jiaotong University Shanghai China

The general configuration of body is a valuable cue for human identification, which is ignored by the existing approaches. In this paper, we present an approach for human identification by using body prior and the generalized Earth Mover's Distance (EMD). The common knowledge that a pedestrian is composed of upper body and the lower one is employed as a body prior. To achieve more robust body segmentation, we pursue their boundary by inducing a logistic probability map, which is approximated based on minimizing its KL divergence to the posterior probability of the observed person image. Furthermore, we generalize EMD by assigning different weights to regions of body, which are learned through logistic regression to boost discriminative power for human identification. The experimental results show that both body prior and the generalized EMD facilitate performance on human identification.

关键词： Humans image segmentation Measurement Feature extraction image color analysis Conferences

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Data model driven architecture (DMDA)

Data model driven architecture (DMDA)

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4th International Workshop on Advanced Computational Intelligence, IWACI 2011

作者： Chen, Chen Chen, Xueguang Liu, Hong Institute of Systems Engineering Huazhong University of Science and Technology Wuhan 430074 China Key Lab. for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781612843735

Based on the current development of Model Driven Architecture (MDA) in Enterprise Information System (EIS), the paper proposes a DMDA, a new development architecture to improve EIS development speed and quality. The basic idea of the DMDA is to take advantage of formal description, decomposition and re-use on EIS development process to let computer understand development demands of developers and then consequently generate some business models having nothing to do with specific technical realization, combine with specific technical basic platform to finally generate the EIS meeting actual demands based on data model. The practice proves the architecture is capable of simplifying EIS development difficulty, expediting application and development speed, improve development quality and achieve the rapid development purpose. © 2011 IEEE.

关键词： Software design

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Multi-agent middleware for the integration of mobile supply chain

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Journal of Computers 2011年第7期6卷 1469-1476页

作者： Zhao, Weidong Wu, Haifeng Dai, Weihui Li, Xuan Yu, Fei Xu, Chen School of Software Fudan University Shanghai China Jiangsu Provincial Key Lab of Image Processing and Image Communications Nanjing University of Posts and Telecommunications Nanjing China

With the development of mobile network and communication technology, traditional supply chain management is gradually updating to mobile supply chain management, and multi-agent technology has been considered as a very efficient method for supply chain management in mobile environment. After considering the characteristics and limitations of mobile supply chain, and according to the requirements in the manufacturing domain, this paper designs a multi-agent middleware for mobile supply chain management, aiming to solve integration problems and shield off network and terminal heterogeneity in mobile environment, which can achieve mobile supply chain dynamic integration and then improve the efficiency of supply chain management. Its feasibility and efficiency was demonstrated by experiments. © 2011 ACADEMY PUBLISHER.

关键词： Middleware

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An improved speech enhancement method based on teager energy operator and perceptual wavelet packet decomposition

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Journal of Multimedia 2011年第3期6卷 308-315页

作者： Zhao, Huan Peng, Xiujuan Hu, Lian Wang, Gangjin Yu, Fei Xu, Chen School of Information Science and Engineering Hunan University Changsha China Jiangsu Provincial Key Lab of Image Processing and Image Communications Nanjing University of Posts and Telecommunications Nanjing China

According to the distribution characteristic of noise and clean speech signal in the frequency domain, a new speech enhancement method based on teager energy operator (TEO) and perceptual wavelet packet decomposition (PWPD) is proposed. Firstly, a modified Mask construction method is made to protect the acoustic cues at the low frequencies. Then a level-dependent parameter is introduced to further adjust the thresholds in light of the noise distribution feature. At last the sub-bands which have very little influence are set directly 0 to improve the signal-to-noise ratio (SNR) and reduce the computation load. Simulation results show that, under different kinds of noise environments, this new method not only enhances the signal-to-noise ratio (SNR) and perceptual evaluation of speech quality (PESQ), but also reduces the computation load, which is very advantageous for real-time realizing. © 2011 ACADEMY PUBLISHER.

关键词： Signal to noise ratio

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An improving MFCC features extraction based on FastICA algorithm plus RASTA filtering

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Journal of Computers 2011年第7期6卷 1477-1484页

作者： Zhao, Huan Hu, Lian Peng, Xiujuan Wang, Gangjin Yu, Fei Xu, Cheng School of Information Science and Engineering Hunan University Changsha China Jiangsu Provincial Key Lab of Image Processing and Image Communications Nanjing University of Posts and Telecommunications Nanjing China

FastICA is a kind of independent component analysis (ICA), which is robust and high performance algorithm, it can strongly remove signal correlation and ensure each signal to be independence. Through perceptual test, improving that RASTA is an idea which can denoise effectively. First, we remove signal correlation through FastICA algorithm, then we use RASTA filter to filtering the ceptral coefficients. Finally, we reduce dimension of the cepstral coefficients by the variances of cepstral coefficients in different dimension and obtain our features. By the HTK3.3, the speech feature extraction which was presented in this paper show the better robust in recognition experiment. © 2011 ACADEMY PUBLISHER.

关键词： Feature extraction

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3D Gaze Estimation Based on Facial Feature Tracking

3D Gaze Estimation Based on Facial Feature Tracking

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2011 4th IEEE International Conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Man Yi Zhao Xinbo Zhang Ke Shaanxi Provincial Key Lab.of Speech & Image Information Processing Northwestern Polytechnical University

ISBN: (纸本)9781612848334

A 3D gaze estimation and tracking algorithm based on facial feature tracking is presented in this ***,we used the Active Shape Model(ASM) to extract facial feature points with a stereo ***,the full 3D pose of head is estimated by comparing the feature points of current pose with initial head *** that,the center of eyeball is obtained based on a 3D eye model which is related to head pose and the middle point of eye ***,optical axis was computed as 3D vectors through the center of eyeball to the center of ***,visual axis was gotten by adding an angle to optical ***,in our system,a one-time personal calibration is used to determine this *** experimental results show the accuracy of our gaze tracking system achieves less than 3 degree.

关键词： gaze tracking gaze estimation head pose facial feature tracking stereo cameras

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Reliability assessments of Chinese high speed railway network

Reliability assessments of Chinese high speed railway networ...

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2011 IEEE International Conference on Service Operations, Logistics and Informatics, SOLI 2011

作者： Zhang, Jianhua Hong, Liu Wang, Shuliang Xu, Xiaoming Department of Control Science and Engineering Key Lab for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China University of Shanghai for Science and Technology Shanghai Academy of System Science Shanghai 200093 China

ISBN: (纸本)9781457705731

With the economic developments, high speed railway has been paid many attentions in China and medium- short term planning of Chinese high speed railway network has been formed and most of the railways have been started into operations. In this paper, graph theory and complex network theory are adopted to assess the reliability of Chinese high speed railway network. The topological characteristics and real distances between pairs of stations are discussed to investigate the reliability of Chinese high-speed rail network. Several parameters are presented to investigate the topological characteristics and the reliability and robustness of the network subject to failures. The parameter called unit degree betweenness is proposed to assess the transport capacity of lines connecting with the nodes. The largest degree node-based attacks and the highest betweenness node-based attacks are involved into Chinese high speed railway network to assess the topological reliability and robustness. The results show that the highest betweenness node-based attacks are more effective to destroy the network than the largest degree node-based attacks. Moreover, the cumulative degree distribution and the real mileages of railways between pairs of stations can be fitted by Gauss functions, and the distribution of real shortest distances over all pairs of stations of the network is fitted by a normal distribution function. By the simulations, the critical stations, Guangzhou Station, Zhengzhou Station and Jinan Station for the largest degree node-based attacks, and Wuhan Station, Xuzhou Station and Shijiazhuang Station for the highest betweenness node-based attacks, can be obtained in this paper. © 2011 IEEE.

关键词： Graph theory

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Blurring length estimation using ringing artifacts in a deblurred image

Blurring length estimation using ringing artifacts in a debl...

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3rd International Conference on image Analysis and Signal processing, IASP 2011

作者： Yang, Shuangxue Liu, Hong Liu, Benyong Liao, Xiang School of Computer Science and Information Institute of Intelligent Information Processing Guizhou University Guiyang 550025 China Key Lab. of Sound-Image Material Examination and Authentication Ministry of Public Security of PRC Guiyang 550001 China

ISBN: (纸本)9781612848808

The restoration quality of a motion-blurred image is highly dependent on the estimation accuracy of the motion blurring parameter. This manuscript presents a novel and precise method for estimation of the motion blurring length, wherein the ringing artifact amount of a deblurred image is measured by energy proportion contained in appropriate frequency bands, and a blurring length with minimum ringing artifact amount is taken as the optimal estimation of the true blurring length. Experimental results show good performance of the proposed algorithm in motion blurring length estimation. © 2011 IEEE.

关键词： image enhancement

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The large-scale crowd density estimation based on sparse spatiotemporal local binary pattern

The large-scale crowd density estimation based on sparse spa...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Hua Yang Hang Su Shibao Zheng Sha Wei Yawen Fan Institution of Image Communication and Information Processing Department of EE Shanghai Key Laboratory of Digital Media Processing and Transmission Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781612843483

Over the past decade, a wide attention has been paid to the crowd control and management in intelligent video surveillance area. This paper proposes a sparse spatiotemporal local binary pattern (SST-LBP) descriptor to extract the dynamic texture of the walking crowd with the application to crowd density estimation. Firstly, the sparse selected location is extracted, which is notably variant in temporal domain and scale invariant in spatial domain. Afterwards, considering the spatial and temporal symmetry, the authors propose a sparse spatiotemporal local binary pattern algorithm and utilize its statistical property to describe the crowd feature. Finally, the crowd features are classified into a range of density levels by adopting support vector machine. The experiments on real video show that the proposed SST-LBP method is effective and robust on the large-scale crowd density estimation. Compared with the other methods, the proposed method does not base on the premise that the background should be extracted perfectly, which is too complicated to implement in real surveillance.

关键词： Spatiotemporal phenomena Feature extraction Estimation Support vector machines Heuristic algorithms Legged locomotion Equations

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