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IEEE International Conference on Computer Vision Systems (ICVS)

作者： Changhan Park Joonki Paik Taewoong Choi Soonhyob Kim Youngouk Kim J. Namkung Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea Multimedia Signal Processing Laboratory Kwangwoon University Seoul South Korea Precision Machinery Center Korea Electronics and Technology Institute Puchon Gyeonggi South Korea Intelligent Image Communication Laboratory Department of Computer Engineering Kwangwoon University Seoul South Korea

In this paper, we propose a personal verification method using both face and speech to improve the rate of single biometric verification. False acceptance rate (FAR) and false rejection rate (FRR) have been a fundamental bottleneck of real-time personal verification. The proposed multimodal biometric method is to improve both verification rate and reliability in real-time by overcoming technical limitations of single biometric verification methods. The proposed method uses principal component analysis (PCA) for face recognition and hidden markov model (HMM) for speech recognition. It also uses fuzzy logic for the final decision of personal verification. Based on experimental results, the proposed system can reduce FAR down to 0.0001%, which provides that the proposed method overcomes the limitation of single biometric system and provides stable personal verification in real-time.

关键词： Humans Speech Face detection Face recognition Biometrics Principal component analysis Feature extraction Hidden Markov models image edge detection Laboratories

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Dim Small Targets Detection Based on Dualband Infrared image Fusion

Dim Small Targets Detection Based on Dualband Infrared Image...

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IEEE International Conference on Industrial technology (ICIT)

作者： Yu-Qiu Sun Jin-Wen Tian Jian Liu State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recongnition and Artificial Intelliegence Huazhong University of Science and Technology Wuhan China School of Information and Mathematics Yangtze University Jingzhou China State Education Commission Key Laboratory for Image Processing and Intelligent Control Department of Electronic Information and Enginery Huazhong University of Science and Technology Wuhan China

To infrared images, the contrast of target and background is low, dim small targets have no concrete shapes and their textures cannot be reliable predicted. The paper puts forward a novel algorithm to fuse mid-wave and long-wave infrared images and detect targets. Firstly, the source images are decomposed by wavelet transformation. In usual, targets in infrared images are man-made, and their fractal dimension is different comparing with natural background. In wavelet transformation domain high-frequency part, we calculate local fractal dimension and set up fusion rule to merge corresponding sub-images of two matching source images. In low-frequency, we extract local maximum gray level to fuse them. Then reconstruct image by wavelet inverse transformation and obtain fused result image. In fusion results, the contrast between targets and background has obvious changes. And targets can be detected using contrast thresholding. The experimental results show that the method using fractal dimension to fuse dualband infrared images, and then detect targets is superior to use mid-wave or long -wave infrared images detect targets alone.

关键词： Object detection Dual band Infrared imaging Infrared detectors image fusion Fuses Fractals Concrete Shape Wavelet domain

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Dualband Infrared images Target Detection Algorithm Based on Multiscale Morphology

Dualband Infrared Images Target Detection Algorithm Based on...

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2006 8th International Conference on signal processing

作者： Yuqiu Sun Jinwen Tian Jian Liu School of Information and Mathematics Yangtze University State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial IntelligenceHuazhong University of Science and Technology

According to the features of mid-wave and long-wave infrared images,they are decomposed into morphology pyramid respectively based on the new multiscale mathematical morphology filters proposed in the *** features such as local maximum gray level and average gradient strength of every image are extracted at each level of morphology *** dualband infrared images based on fusion rule put forward in the paper,and then reconstruct original image and detect target using contrast threshold *** experiment results show that dualband infrared images target detection algorithm based on multiscale morphology algorithm is better than use mid-wave or long-wave infrared images detect targets alone.

关键词： image Dualband Infrared images Target Detection Algorithm Based on Multiscale Morphology Target

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High accuracy traffic monitoring using road-side line-scan cameras

High accuracy traffic monitoring using road-side line-scan c...

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International Conference on Intelligent Transportation

作者： D. Douxchamps B. Macq K. Chihara Image Processing Laboratory Nara Institute of Science and Technology Japan Laboratoire de Télécommunications et Télédétection Université Catholique de Louvain Belgium

This paper presents a new technique for simultaneous traffic monitoring and law enforcement using a roadside rig head based on two line-scan cameras. As the vehicle travels across the vertical scanning lines, two images are formed and can be correlated with each other to determine the vehicle speed. Our first tests showed that the resulting videos are easily interpreted by computers in real-time and that the measures are both accurate (less than 1% error) and stable. In addition to speed, the system is able to extract a broad range of traffic information, among others the vehicle size, acceleration and inter-vehicle distances

关键词： Monitoring Cameras Vehicles Law enforcement Head Testing Videos Computer errors Data mining Acceleration

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RBF Network image Representation with Application to CT image Reconstruction

RBF Network image Representation with Application to CT Imag...

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International Conference on Computational Intelligence and Security

作者： Ping Guo Ming Hu Yunde Jia Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China School of Computer Science Beijing Institute of Technology Beijing China Beijing Normal University Beijing Beijing CN China

ISBN: (纸本)1424406048

Radial basis function (RBF) neural network can be used as a universal approximator. In this paper, we propose a novel method to apply RBF net to reconstruct 2-dimensional computerized tomography (CT) images from a small amount of projection data. In the method, the cross-sectional image is represented by a RBF network, the unknown cross-sectional image vector is replaced by the function of the network's weight vector. As proved by us, the line integral of the weight matrix can be calculated providing the projections of the CT image are known. The ART method can be employed to obtain the final reconstructed CT image. Experiments show that the proposed method can obtain the better reconstructed image than the filtered back projection (FBP), and it is also more efficient than ART method alone

关键词： Radial basis function networks image representation Computed tomography image reconstruction Subspace constraints Matrix converters Equations Application software Laboratories Neural networks

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3D TRUS image Segmentation in Prostate Brachytherapy

3D TRUS Image Segmentation in Prostate Brachytherapy

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Mingyue Ding L. Gardi Zhouping Wei A. Fenster Institute for Pattern Recognition and Artificial Intelligence Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China Imaging Research Laboratories Robarts Research Institute London ONT Canada

Brachytherapy is a minimally invasive interventional surgery used to treat prostate cancer. It is composed of three steps: dose pre-planning, implantation of radioactive seeds, and dose post-planning. In these procedures, it is crucial to determine the positions of needles and seeds, measure the volume of the prostate gland. Three-dimensional transrectal ultrasound (TRUS) imaging has been demonstrated to be a useful technique to perform such tasks. Compared to CT, MRI or X-ray imaging, US image suffers from low contrast, image speckle and shadows, making it challenging for segmentation of needles, the prostates and seeds in the 3D TRUS images. In this paper, we reviewed 3D TRUS image segmentation methods used in prostate brachytherapy including the segmentations of the needles, the prostate, as well as the seeds. Furthermore, some experimental results with agar phantom, turkey and chicken phantom, as well as the patient data are reported

关键词： image segmentation Brachytherapy Needles Minimally invasive surgery Ultrasonic imaging Imaging phantoms Oncological surgery Prostate cancer Position measurement Volume measurement

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Multi-modal human verification using face and speech

Multi-modal human verification using face and speech

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Fourth IEEE International Conference on Computer Vision Systems, ICVS'06

作者： Park, Changhan Choi, Taewoong Kim, Youngouk Kim, Soonhyob Namkung, Jaechan Paik, Joonki Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Huksuk-dong Tongjak-Ku Seoul 156-756 Korea Republic of Multimedia Signal Processing Laboratory Department of Computer Engineering Kwangwoon University 447-1 Wolge-dong Nowon-Gu Seoul 139-701 Korea Republic of Intelligent Image Communication Laboratory Department of Computer Engineering Kwangwoon University 447-1 Wolge-dong Nowon-Gu Seoul 139-701 Korea Republic of Precision Machinery Center Korea Electronics Technology Institute 401-402 B/D 193 Yakdae-dong Wonmi-Gu Puchon Kyunggido 420-140 Korea Republic of

ISBN: (纸本)0769525067

关键词： Face recognition

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Time-Frequency Analysis of Radar Backscattered signals using Phase Coupled Frequencies Extracted from Time-Varying Bispectrum Estimates

Time-Frequency Analysis of Radar Backscattered Signals using...

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International Conference on Microwaves, Radar and Wireless Communications

作者： A.V. Totsky I.V. Kurbatov G.I. Khlopov S.I. Khomenko V.Ye. Morozov J.T. Astola K.O. Egiazarian Department of Transmitters National Aerospace University Kharkov Ukraine Department of Radar Systems Institute of Radio Physics and Electronics of National Academy of Science Kharkov Ukraine Tampere University of Technology Signal Processing Laboratory Tampere Finland

A new approach to time-frequency analysis of radar echo responses obtained from moving objects is represented. The suggested approach is based on the extraction of phase-coupled harmonics from time-varying bispectrum estimates of transient sequences separated from the total radar backscattered signal by a sliding window. A coherent, homodyne, and continuous-wave radar has been employed for measuring multi-component, non-stationary, and nonlinear frequency modulated signals backscattered by moving objects. The experimental study underpinned with the theoretical assumptions of the suggested approach has demonstrated clean recovery of time-varying phase-coupled frequencies for test targets like a swinging metallic sphere or a walking human. The obtained time-frequency distributions of phase-coupled harmonics can be recommended as a new information feature in automatic radar target recognition systems.

关键词： Frequency estimation Time frequency analysis Phase estimation Radar measurements Frequency measurement Frequency modulation Testing Legged locomotion Humans Target recognition

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Sparse representation of complex valued signals

Sparse representation of complex valued signals

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International Conference on Computational Intelligence and Security

作者： Zhaoshui He Shengli Xie Yuli Fu Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute Wako Saitama Japan School of Electronics & Information Engineering South China University of Technology China School of Electronics & Information Engineering South China University of Technology Guangzhou China

ISBN: (纸本)1424406048

Sparse representation of complex valued signals is addressed in this paper. Considering the statistical dependence between real part and imaginary part of a complex valued signal (e.g., the discrete-time Fourier transform of a real valued signal), a special probability density function (PDF) is introduced to describe the complex random variable in this paper. Based on this PDF, a complex sparse representation method is proposed and the corresponding algorithm is established. The experiments demonstrate the good performance of the proposed algorithm

关键词： Biomedical signal processing signal processing Random variables Sparse matrices signal processing algorithms Strontium Probability density function Biomedical engineering Machine learning Biological neural networks

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The world of mushrooms - A transdisdplinary approach to human-computer interaction with ambient intelligence

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NTT Technical Review 2006年第12期4卷 17-24页

作者： Maeda, Eisaku Minami, Yasuhiro Miyoshi, Masato Sawaki, Minako Sawada, Hiroshi Nakamura, Atsushi Yamato, Junji Yamada, Takeshi Higashinaka, Ryuichiro NTT Communication Science Laboratories Atsugi-shi 243-0198 Japan Ambient Intelligence Research Group Media Intormation Laboratory NTT Communication Science Laboratories IEEE IEICE IPSJ Signal Processing Research Group Media Information Laboratory NTT Communication Science Laboratories ASJ Audio Engineering Society Recognition Research Group Media Information Laboratory NTT Communication Science Laboratories Institute of Image Information and Television Engineers Robotics Society of Japan Emergent Learning and Systems Research Group Innovative Communication Laboratory NTT Communication Science Laboratories ACM Scheduling Society of Japan Knowledge Processing Research Group Innovative Communication Laboratory NTT Communication Science Laboratories Association for Computational Linguistics

This paper provides an update to the January 2006 letter on "ambient intelligence", describing this year's achievements and the latest demonstration systems. The Ambient Intelligence Project (also known by the code name project Mushroom) aims to bridge the boundaries between technological fields and thus cover the entire field of communication science.

关键词： Human computer interaction

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