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检索条件"任意字段=7th Chinese Conference on Pattern Recognition and Computer Vision"

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the location method of the main hand-shape feature points

The location method of the main hand-shape feature points

引用

7th chinese conference on Biometric recognition, CCBR 2012

作者： Yuan, Weiqi Jing, Lantao Computer Vision Group Shenyang University of Technology Economic and Technological Development Zone No. 111 Shenliao West Road Shenyang 110870 China

ISBN: (纸本)9783642355059

While locating the points used for obtaining the hand-shape features with high class separability, the stability of the point positions is easily influenced by the hand positions and the wearing decorations. this paper improves the linear fitting accurate location method through removing the interference of parts of the experience values. It can reduce the impact of fingers flexibility and improve the accuracy of the finger-tip and finger-root points. In addition, the paper proposes a revised method to locate the wrist point. And the palm length can be used for automatic identification as one of the features in the vector. the experiments can verify the stability of the method through the standard deviation mean. through the contrast of the matching results between the automatic and artificial measurement, the D-value is 0.7% of the 3-feature vector and 0.4% of 6-feature vector. It can prove the feasibility of the location method used the peg-free images. © 2012 Springer-Verlag.

关键词： Curve fitting

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Iris image deblurring based on refinement of point spread function

Iris image deblurring based on refinement of point spread fu...

引用

7th chinese conference on Biometric recognition, CCBR 2012

作者： Liu, Jing Sun, Zhenan Tan, Tieniu Department of Automation University of Science and Technology of China China National Laboratory of Pattern Recognition Chinese Academy of Sciences Institute of Automation China

ISBN: (纸本)9783642355059

Blurred iris images are inevitable during iris image acquisition due to limited depth of field and movement of subjects. the blurred iris images lose detailed texture information for accurate identity verification, so this paper proposes a novel iris image deblurring method to enhance the quality of blurred iris images. Our method makes full use of the prior information of iris images. Firstly, benefiting from the properties of iris images, a set of initialization methods for point spread function (PSF) is proposed to obtain a better start point than that of common deblurring methods. Secondly, only the most reliable iris image regions which are obtained by structure properties of iris images are used to refine the initial PSF. Finally, the more accurate PSF is used to reconstruct the clear iris texture for higher accuracy of iris recognition. Experimental results on both synthetic and real-world iris images illustrate that the proposed method is effective and efficient, and outperforms state-of-the-art iris image deblurring methods in terms of the improvement of iris recognition accuracy. © 2012 Springer-Verlag.

关键词： Optical transfer function

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Engineering Education New Mode by Co-operation Training between University and Corporation

Engineering Education New Mode by Co-operation Training betw...

引用

7th International conference on computer Science and Education

作者： Hu, Da Chao Ye, Ding Ping Shanghai Inst Technol Sch Mech Engn Shanghai 200235 Peoples R China Chinese Acad Sci Network Informat Ctr Shanghai Branch Shanghai 200030 Peoples R China

ISBN: (纸本)9781467302395

the basic content to instruct graduation design (thesis) through co-operative education of university and corporation is to develop and improve the overall quality of students' integrated capabilities and focused on employment competitive ability. this pattern fully uses school and society that are two kinds of different education environments and resources as well as in talented persons raising aspect with the different respective superiorities. By combining with the classroom instruction knowledge from primary school and the direct knowledge that is from the production practice, and the scientific research, which obtains efficient and better result in students' education raising process, and comprehensively improves student's specialized quality and the humanities quality. this paper mainly focuses on the feasibility of this model, structure and implementation of related issues, through Shanghai Institute of Technology years practice experiences, it shows that the model can help students improve their political and ideological qualities, engineering capabilities, and enhance their employment competitive abilities. Meanwhile teachers' exercise and practical engineering capabilities have been improved, which helps to make up for lack of teaching resources in schools. the model is very good and efficient way to train innovative and talent people and develops implementation of outstanding engineer training plan.

关键词： engineering education mode cooperation education of university and corporation graduation design (thesis)

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A new image dataset on human interactions

A new image dataset on human interactions

引用

7th International conference on Articulated Motion and Deformable Objects, AMDO 2012

作者： Gong, Wenjuan Gonzàlez, Jordi Tavares, João Manuel R. S. Roca, F. Xavier Dep. Computer Science Computer Vision Centre Universitat Autònoma de Barcelona 08193 Bellaterra Spain Instituto de Engenharia Mecânica e Gestão Industrial Departamento de Engenharia Mecânica Universidade Do Porto Rua Dr. Roberto Frias S/N 4200-465 Porto Portugal

ISBN: (纸本)9783642315664

this article describes a new collection of still image dataset which are dedicated to interactions between people. Human action recognition from still images have been a hot topic recently, but most of them are actions performed by a single person, like running, walking, riding bikes, phoning and so on and there is no interactions between people in one image. the dataset collected in this paper are concentrating on human interaction between two people aiming to explore this new topic in the research area of action recognition from still images. © 2012 Springer-Verlag.

关键词： computers

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the research of multi-spectral hand texture fusion method under a non-constraint condition

The research of multi-spectral hand texture fusion method un...

引用

7th chinese conference on Biometric recognition, CCBR 2012

作者： Yuan, Weiqi Tang, Yonghua Fang, Ting Computer Vision Group Shenyang University of Technology Shenyang 110870 China

ISBN: (纸本)9783642355059

As different ways of Biometric Identification, palm print, palm veins and palm shapes identification have their own characteristics. the main stream of research is forming especially in the fields of none or low constraint conditions in this area. the palm print and shape is easy to be acquired to get pictures of high qualities by which we can make further research. However, under the same infrared band, one is hard to extract clear images of the hand veins of different individuals. this article is aim to solve this problem. Base on a method of multiband and multispectral palm print extracting, we could reach the aim letting quite a few people's hand under permission. Considering the fact that the None/Low constraint condition extracting could break the parallel position between the hand and the imaging sensor and cause affine deformation. Using the outline of the palm to revise and uniform the hand, we can realize the correction registration and the normalization of the palm print image. the experimental result will prove the advantage of this method we implemented. © 2012 Springer-Verlag.

关键词： Data fusion

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Nonlinear-Based Human Activity recognition Using the Kernel Technique

引用

4th International conference on Networked Digital Technologies, NDT 2012

作者： Diaf, A. Benlamri, R. Boufama, B. University of Windsor Windsor ON N9B 3P4 Canada Lakehead University Thunder Bay ON P7B 5E1 Canada

ISBN: (纸本)9783642305665

Kernel-based methods have gained great attention by researchers in the field of pattern recognition and statistical machine learning. they are the most nominated algorithms whenever a non-linear classification model is required. Human activity recognition has also been highlighted by researchers in the area of computer vision. this focusing has been triggered by the interest in many applications, such as, activity recognition in surveillance systems, robotics, wireless interfaces and interactive environments. It has been observed that the literature lacks the use of the kernel technique in the context of human activity recognition. In this context, this paper introduces a non-linear eigenvector-based recognition model that is built upon the idea of the kernel technique. the paper gives a practical study of using the kernel technique showing how much crucial choosing the right kernel function is, for the success of the linear discrimination in the feature space. the rich implementation results provided in this paper were obtained by applying the model on two of the most common used benchmark datasets in the field of human activity recognition, Kth and Weizmann. © Springer-Verlag Berlin Heidelberg 2012.

关键词： pattern recognition

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Coherent Filtering: Detecting Coherent Motions from Crowd Clutters

Coherent Filtering: Detecting Coherent Motions from Crowd Cl...

引用

12th European conference on computer vision (ECCV)

作者： Zhou, Bolei Tang, Xiaoou Wang, Xiaogang Chinese Univ Hong Kong Dept Informat Engn Hong Kong Hong Kong Peoples R China Chinese Univ Hong Kong Dept Elect Engn Hong Kong Hong Kong Peoples R China Shenzhen Inst Adv Technol Chinese Acad Sci Shenzhen Peoples R China

ISBN: (纸本)9783642337086

Coherent motions, which describe the collective movements of individuals in crowd, widely exist in physical and biological systems. Understanding their underlying priors and detecting various coherent motion patterns from background clutters have both scientific values and a wide range of practical applications, especially for crowd motion analysis. In this paper, we propose and study a prior of coherent motion called Coherent Neighbor Invariance, which characterizes the local spatiotemporal relationships of individuals in coherent motion. Based on the coherent neighbor invariance, a general technique of detecting coherent motion patterns from noisy time-series data called Coherent Filtering is proposed. It can be effectively applied to data with different distributions at different scales in various real-world problems, where the environments could be sparse or extremely crowded with heavy noise. Experimental evaluation and comparison on synthetic and real data show the existence of Coherence Neighbor Invariance and the effectiveness of our Coherent Filtering.([1])

关键词： Clutter (information theory)

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Fast fourier transform based ip traffic classification system for SIPTO at H(e)NB

Fast fourier transform based ip traffic classification syste...

引用

2012 7th International ICST conference on Communications and Networking in China, CHINACOM 2012

作者： Han, Lin Huang, Liusheng Hu, Qian Han, Xue Shi, Jinglin School of Software and Engineering University of Science and Technology of China Suzhou China Wireless Communication Technology Research Center Institute of Computing Technology Chinese Academy of Sciences China Beijing Key Laboratory of Mobile Computing and Pervasive Device China Beijing Sylincom Technologies Co. Ltd. China

ISBN: (纸本)9781467326995

3GPP has recently introduced LIPA(Local IP Access) and SIPTO(Selected IP Traffic Offload) to offload traffic from the core network, which brings new challenge to on-line traffic classification, because of the large amount of data and the difference of mobile network from wired network, such as high bit error rates(BER) and temporary disconnections. therefore, other proposed schemes which aim at ether LIPA at H(e)NB or SIPTO at macro network could not get high accuracy and high speed at the same time, and traffic classification methodologies in wired IP network are not applicable. this paper proposes a fast fourier transform(FFT) based IP traffic classification system for SIPTO at H(e)NB, which focuses on classifying each packet at H(e)NB by extracting the application layer payload pattern using FFT. pattern extraction and classification using machine learning algorithms are simulated, and results show that our system outperforms existing methods by offering about 3%-6% improvement in classification accuracy with about 7% time. Simulation of SIPTO shows good reduction of press to the core network and low false rates. © 2012 IEEE.

关键词： Fast Fourier transforms

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A New Background Subtraction Method Using Texture and Color Information

A New Background Subtraction Method Using Texture and Color ...

引用

7th International conference on Intelligent Computing (ICIC)

作者： Yuan, Guo-Wu Gao, Yun Xu, Dan Jiang, Mu-Rong Yunnan Univ Coll Informat Sci & Engn Kunming 650091 Peoples R China

ISBN: (纸本)9783642259432

Detecting moving objects from video frames is one of the key techniques in computer vision. Background subtraction is a common way to detect moving objects at present. A new background subtraction algorithm is proposed in this paper. the algorithm describes backgrounds by a combination of hue and improved local binary pattern (LBP) texture and adopts the idea of Gaussian mixture model that uses multiple modes to represent background. In order to reduce matching complexity and satisfy real-time, the LBP texture feature vectors are simplified. Experiments show that the proposed algorithm can satisfy real-time in common resolution videos, can remove effectively the effect of shadow and can detect moving objects more accurately than others.

关键词： background subtraction local binary pattern Gaussian mixture model hue

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Advanced Intelligent Computing theories and Applications 2012

引用

丛书名： Lecture Notes in computer Science

2012年

作者： De-Shuang Huang Yong Gan Phalguni Gupta M. Michael Gromiha

ISBN: (数字)9783642259449

ISBN: (纸本)9783642259432

this book constitutes the thoroughly refereed post-conference proceedings of the 7th International conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. the 94 revised full papers presented were carefully reviewed and selected from 832 submissions. the papers are organized in topical sections on intelligent computing in scheduling; local feature descriptors for image processing and recognition; combinatorial and numerical optimization; machine learning theory and methods; intelligent control and automation; knowledge representation/reasoning and expert systems; intelligent computing in pattern recognition; intelligent computing in image processing; intelligent computing in computer vision; biometrics with applications to individual security/forensic sciences; modeling, theory, and applications of positive systems; sparse manifold learning methods and applications; advances in intelligent information processing.

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