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IEEE International Conference on Image Processing

作者： Peng-peng Zhang Sheng-zheng Wang Yu Qiao Jie Yang Yong-hui Gao The Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China 200240 Merchant Marine College Shanghai Maritime University China 200235

ISBN: (纸本)9781479923427

This paper proposes a new affine registration algorithm for 2D point matching. It is a two-step iterative registration algorithm by soft weight assignment based on bidirectional distance. At each iteration, the affine transformation is updated by two optimization steps, in which the model data and the test data are matched from each other respectively. By the optimization of registration at separate steps during each iteration, the proposed algorithm can provide a good estimate of the accurate affine transformation in condition of poor initialization and lack of geometric assumptions on point sets. Some experiments about comparison with the current state-of-the art approaches, demonstrate the robustness and accuracy of our method.

关键词： affine soft assignment bidirectional distance point matching In-law Affine transformation Bidirectional Affine Registration observational data iterative methods

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Multi-feature bio-inspired model for scene classification

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Applied Mechanics and Materials 2013年 303-306卷 1569-1572页

作者： Hu, De-Kun Lin, Jie College of Information Science and Technology Chengdu University Chengdu 610106 China Key Laboratory of Pattern Recognition and Intelligent Information Processing Institutions of Higher Education of Sichuan Province 610106 China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9783037856529

A multi-feature bio-inspired model for scene image classification (MFBIM) is presented in this work;it extends the hierarchical feedforward model of the visual cortex. Firstly, each of three paths of classification uses each image property (i.e. shape, edge or color based features) independently. Then, BPNN assigns the category of an image based on the previous outputs. Experiments show that the model boosts the classification accuracy over the shape based model. Meanwhile, the proposed approach achieves a high accuracy comparable to other reported methods on publicly available color image dataset. © (2013) Trans Tech Publications, Switzerland.

关键词： Computer vision

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Sparse feature representation for visual tracking

Sparse feature representation for visual tracking

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2012 International Conference on systems and Informatics, ICSAI 2012

作者： Liu, Yifei Han, Zhenjun Ye, Qixiang Jiao, Jianbin Li, Ce Pattern Recognition and Intelligent System Development Laboratory Graduate University Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467301992

In this paper, a novel sparse feature representation method for object tracking is proposed. The method is on the observation that a tracked object can be dynamically and compactly represented by a few features (sparse representation) from a large feature set (the improved histogram of oriented gradient and color, HOGC). Based on the HOGC features, the sparse representation can be learned online from the constructed training samples during the tracking procedure by exploiting the L1-norm minimization principle, which can also be called feature selection procedure, ensuring the tracking can adapt to the appearance variations of either foreground or background. Experiments with comparisons demonstrate the effectiveness of the proposed method. © 2012 IEEE.

关键词： Feature Selection

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A Novel Wideband CPW-Fed 5.8GHz RFID Tag Antenna

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电子学报(英文版) 2012年第2期21卷 202-208页

作者： LI Huihui MOU Xuanqin JI Zhen YU Hang LI Yan Institute of Image Processing and Pattern Recognition Xi'an Jiaotong University Xi'an 710049 China College of Computer Science and Software Engineering Shenzhen University Shenzhen 518060 China Shenzhen Key Laboratory of Embedded System Design Shenzhen 518060 China

A novel wideband 5.8GHz CPW-fed an- tenna is presented for Radio frequency identification (RFID) tag. Four U-shaped and four L-shaped branches are used as additional resonators to achieve wideband operation. The proposed antenna was analyzed numeri- cally using the Method of moment (MOM) and the Fi- nite element method (FEM). With the antenna size lim- ited to 30 × 30mm2, the ?10dB bandwidth obtained by MOM is 3.235GHz (5.765～9GHz) and the ?9.5dB band- width obtained by FEM is 2.74GHz (5.32～8.06GHz), cor- responding to 55.7% and 47.2% of the center frequency 5.8GHz respectively. Moreover, the simulated results show that the proposed antenna has gain of more than 4.8dBi and the radiation pattern is nearly omnidirectional in the H-plane. The measured ?10dB bandwidth is 2.68GHz (5.63GHz～8.31GHz), 46.2% of the 5.8GHz frequency. Fur- thermore, there are three measured resonant frequencies at 1.34GHz, 3.23GHz and 5.8GHz with lower than ?10dB return loss respectively. The measurement result achieves a wideband RFID tag antenna performance and is in good agreement with the calculated results.

关键词： RFID标签天线尺寸共面波导宽带无线电频率识别有限元分析网络连接数值分析

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Tempo Variation Based Multilayer Filters for Query by Humming

Tempo Variation Based Multilayer Filters for Query by Hummin...

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International Conference on pattern recognition

作者： Qiang Wang Zhiyuan Guo Baoxiang Li Gang Liu Jun Guo Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications

ISBN: (纸本)9781467322164

In this paper we propose a methodology of multilayer filters based on tempo variation for realizing a query by humming (QBH) system. Firstly the original query clip is used to search for the candidate songs. If the results are unreliable, the clip is linearly scaled twice for more candidates. If the results are still unreliable, the clip is scaled more times for retrieval. To sort all the candidates, a new matching algorithm called key transposition recursive alignment (KTRA) is presented, which improves the retrieval accuracy. Experimental results on the 2010 MIREX QBH query corpus show that the proposed method can achieve a relative improvement of 20.9% as well as an acceleration factor of 2.09 simultaneously compared to a state-of-the-art method.

关键词： music query processing

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WAF BASED TOPIC DETECTION IN MICRO-BLOG

WAF BASED TOPIC DETECTION IN MICRO-BLOG

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2012 IEEE 2nd International Conference on Cloud Computing and Intelligence systems

作者： Xiaoning Li Guang Chen Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications

Micro-blog is a new information sharing tool which is more and more popular these days. In very short time there are a large number of messages posted and it is difficult for people to grasp main topics that most people are talking about. In this paper, we introduce a new text modeling method, which is called WAF, and propose a feature selection method for topic clustering based on it. In the experiments this method shows promising results, and the subsequent clustering based on it works effectively as well.

关键词： Micro-blog topic detection WAF Clustering

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A music retrieval system based on spoken lyric queries

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International Journal of Advancements in Computing Technology 2012年第8期4卷 173-180页

作者： Guo, Zhiyuan Wang, Qiang Liu, Gang Guo, Jun Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing 100876 China

This paper proposes a spoken lyric search system, which can help users to find the wanted music based on their input spoken lyric phrases. Using spoken lyric phrases to query a music retrieval system is convenient for users but challenging for developers. In our proposed system, the spoken query will be converted into text using large vocabulary continuous speech recognition (LVCSR) technique at first, and then a list of candidate lyrics and their corresponding songs will be presented by the text retrieval techniques. To guarantee the performance of the system, we propose a novel approach to improving the current technology. Specifically, a string matching method, which is based on phoneme confusion matrix, is applied to search the most similar lyrics in acoustic respect for the multiple sentence hypotheses of the input voice;and a two-level search strategy is adopted to shorten the time consuming. Experimental results show that the proposed system achieved top-1 accuracy as high as 93.98% when the search is performed within 2,000 songs, and 83.20%, a moderately satisfying accuracy, was obtained when the targeted number of songs increased to 10,000.

关键词： Character recognition

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Comparison of the camera calibration between photogrammetry and computer vision

Comparison of the camera calibration between photogrammetry ...

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2012 International Conference on system Science and Engineering, ICSSE 2012

作者： Wang, Haixia Shen, Shuhan Lu, Xiao National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China Key Laboratory for Robot and Intelligent Technology of Shandong Province Shandong University of Science and Technology Qingdao China

ISBN: (纸本)9781467309455

At present, the camera with high resolution has been widely used. However, it is not accurate for the above camera to use the traditional computer vision method for calibration. So, a method for camera calibration in photogrametry is referred to, and the comparison of the coordinate system, parameter definitions and the camera model between in photogrametry and in computer vision is presented. Thus, the calibration result of photogrametry can be transplanted well to computer vision. Finally, 5DmarkII is used as an example, and its calibration result in the photogrametry is verified by OpenCV functions. © 2012 IEEE.

关键词： Computer vision

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Query by humming via hierarchical filters

Query by humming via hierarchical filters

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International Conference on pattern recognition

作者： Zhiyuan Guo Qiang Wang Liang Yin Gang Liu Jun Guo Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications China

ISBN: (纸本)9781467322164

This paper proposes an effective implementation of query by humming (QBH) system via hierarchical filters. Firstly locality sensitive hashing (LSH) is used to screen candidate fragments. Secondly linear scaling (LS) is applied to filter out more false candidates and a new method called linear alignment (LA) is presented to locate accurate boundaries of fragments. Then recursive alignment (RA) is employed for the remaining ones. Finally, scores of scaling factor (SF) is fused with scores of RA to rank the songs. Experiments conducted on a database of 5,000 MIDI files show that the proposed approach achieved the relative improvement of mean reciprocal rank up to 37.3% compared with the state-of-the-art method.

关键词： Filtering algorithms Vectors Feature extraction Databases Maximum likelihood detection Nonlinear filters Matched filters

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Microblog retrieval based on term similarity graph

Microblog retrieval based on term similarity graph

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International Conference on Computer Science and Network Technology (ICCSNT)

作者： Yuhang Lin Yan Li Weiran Xu Jun Guo Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications China

ISBN: (纸本)9781467329637

In this paper, we introduce a term similarity graph based microblog retrieval model. We propose an undirected weighted graph to describe each post where nodes represent terms and they are linked together based on the co-occurrences. Then an electric network is applied to calculate the resistance distances between pairs of terms. For a given query topic, mutual relevancy in between query terms and between term groups form the expansions to better describe the query. We also define a scoring and ranking model to improve search over large set of microblogs by considering both expanded words and tweets special attributes (hyperlinks and publish time). Our experiments use Twitter 2011 two weeks' data offered by TREC 2011&2012 Microblog Track. Results show that the model better overcome tweets' limited length shortage than traditional methods, good expansion terms are found and microblog retrieval performance are greatly improved by the scoring and ranking model.

关键词： Microblog Search model Term similarity graph Weighted scoring model Scoring Line graph retrieval TWITTER Scoring Hyperlinks

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