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RWth LVCSR Systems for Quaero and EU-Bridge: German, Polish, Spanish and Portuguese 15

RWTH LVCSR Systems for Quaero and EU-Bridge: German, Polish,...

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15th Annual conference of the International-Speech-Communication-Association (INTERSPEECH 2014)

作者： Shaik, M. Ali Basha Tueske, Zoltan Tahir, M. Ali Nussbaum-thom, Markus Schlueter, Ralf Ney, Hermann Rhein Westfal TH Aachen Dept Comp Sci Human Language Technol & Pattern Recognit D-52056 Aachen Germany LIMSI CNRS Spoken Language Proc Grp Paris France

ISBN: (纸本)9781634394352

In this paper, German, Polish, Spanish, and Portuguese large vocabulary continuous speech recognition (LVCSR) systems developed by the RWth Aachen University are presented. All the above mentioned systems for the aforementioned languages are used for the Quaero and EU-Bridge project evaluations. the LVCSR systems developed for these competitive evaluations focus on various domains like broadcast news, podcasts and lecture domain. Transcription of the speech for these tasks is challenging due to huge variability in the acoustic conditions and a significant portion of audio data includes spontaneous speech. Good improvements are obtained using state-of-the-art multilingual bottleneck features, minimum phone error trained acoustic models, language model (LM) adaptation and confusion-network based system combination. In addition, an open vocabulary approach using morphemic units is investigated along with the LM adaptation for the German LVCSR.

关键词： LVCSR European Quaero EU-Bridge

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A pedestrian detection method using the extension of the HOG feature

A pedestrian detection method using the extension of the HOG...

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International Symposium on Soft Computing and Intelligent Systems (SCIS)

作者： Yuuki Nakashima Joo Kooi Tan Hyoungseop Kim Seiji Ishikawa Department of Mechanical and Control Engineering Kyushu Institute of Technology Kitakyushu Japan

ISBN: (纸本)9781479959563

Development of an ITS (Intelligent Transport System) has drawn much attention from computer vision community in recent years. In particular, various techniques for detecting pedestrians automatically have been proposed by many researchers. Among them, the HOG feature proposed by Dalai & Triggs has gained much interest in the pedestrian detection. However, previous methods including the original HOG feature have not achieved satisfactory detection rates. In this paper, we propose an extension of the HOG feature, i.e., flexible choice of the number of bins and automatic definition of a cell size and a block size by parameterizing their scales. By comparative experiments, it was confirmed that the proposed method outperforms the previous methods in the performance of pedestrian detection.

关键词： Feature extraction computer vision Histograms conferences pattern recognition Sensors Vehicles

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Measurement and study on drying shrinkage characteristic of tobacco lamina based on computer vision 7

Measurement and study on drying shrinkage characteristic of ...

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7th IFIP WG 5.14 International conference on computer and Computing Technologies in Agriculture, CCTA 2013

作者： Zhu, Wenkui Wang, Zhaogai Xu, Delong Du, Jinsong Zhengzhou Tobacco Research Institute of CNTC Zhengzhou450001 China Institute of Agricultural Products Processing Henan Academy of Agricultural Sciences Zhengzhou450002 China Jinan Cigarette Factory Jinan250104 China

ISBN: (纸本)9783642543432

Accurate evaluation of shrinkage characteristic for tobacco lamina during drying process is important for optimizing tobacco primary process. the present work developed a detection and characterization method of shrinkage characteristic based on computer vision. Effect of types and dimensions of tobacco lamina on the shrinkage characteristic were investigated and shrinkage rate variation at different drying stages was also analyzed by this method. the results show that percentage reduction of area, which is obtained by detecting tobacco lamina area before and after drying, can be used to reflect the shrinkage characteristic of tobacco lamina. RSD of measurement results by this method is less than 6% under test conditions. Compared with upper tobacco leaf, middle tobacco leaf shows the higher shrinkage rate of 14.3%. Dimensions of tobacco lamina also have significant effect on its shrinkage characteristic. the larger size (up 30mm mesh) tobacco lamina shows a higher shrinkage rate. Shrinkage rate of tobacco lamina is closely related to moisture content variation during drying. the shrinkage of tobacco lamina during drying mainly occurs within the moisture content range of 20% to 14%. © IFIP International Federation for Information Processing 2014.

关键词： Tobacco

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Abnormal activity recognition using spatio-temporal features

Abnormal activity recognition using spatio-temporal features

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International conference on Information and Automation for Sustainability (ICIAfS)

作者： K. G. Manosha Chathuramali Sameera Ramasinghe Ranga Rodrigo University of Moratuwa Moratuwa LK Engineering University of Moratuwa Sri Lanka

Abnormal activity detection plays an important role in many areas such as surveillance, military installations, and sports. Existing abnormal activity detectors mostly rely on motion data obtained over a number of frames to characterize abnormality. However, only motion may not be able to capture all forms of abnormality, in particular, poses that do not amount to motion "outliers". In this paper, we propose two different spatio-temporal descriptors, a silhouette and optic flow based method and a dense trajectory based method which additionally include trajectory shape descriptor, to detect abnormalities. these two descriptors enable us to classify abnormal versus non-abnormal activities using SVM. Comparison with existing methods, using five standard datasets, shows that dense trajectory based method outperforms state-of-the-art results in crowd dataset and silhouette and optic flow based method outperforms others in some datasets.

关键词： Trajectory computer vision conferences Support vector machines Histograms Hidden Markov models pattern recognition

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Accurate Computation of Fingerprint Intrinsic Images with PDE-Based Regularization

Accurate Computation of Fingerprint Intrinsic Images with PD...

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7th International conference on Intelligent Systems and Knowledge Engineering, ISKE 2012

作者： Li, Mingyan Chen, Xiaoguang College of Sciences Beijing Forestry University 100083 Beijing China Institute of Image Processing and Pattern Recognition College of Sciences North China University of Technology 100083 Beijing China

the intrinsic images of fingerprint, such as orientation field and frequency map, represent the particular and basic characteristics of fingerprint ridge/valley patterns, and play a key role in feature extraction and matching of the fingerprint recognition system. In this paper, a novel algorithm is presented for accurate computation of fingerprint intrinsic images with PDE-based regularization technique. First, the coarse orientation field is estimated using general gradient-based method, and the frequency map is estimated by Fourier spectrum analysis of the projected curve of local window. then, to measure the reliability of the intrinsic images, the quality map is computed based on the gray-scale intensity and local structural information. Finally, accurate orientation field and frequency map are reconstructed with PDE-based regularization of nonlinear diffusion filtering which is controlled by the quality-based diffusivity. Experimental results illustrated the efficiency of the proposed approach. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Spectrum analysis

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Histogram of spatio temporal local binary patterns for human action recognition

Histogram of spatio temporal local binary patterns for human...

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International Symposium on Soft Computing and Intelligent Systems (SCIS)

作者： Sk. Md. Masudul Ahsan Joo Kooi Tan Hyoungseop Kim Seiji Ishikawa Kyushu Kogyo Daigaku Kitakyushu Fukuoka JP Department of Control Engineering Kyushu Institute of Technology Kitakyushu Japan

Recognizing human action from video sequences has lots of applications that make it an interesting research subject. Motion History Image (MHI) is a good spatio-temporal template to represent the distinctive profile of an action using a single image. However, in this paper, we use Local Binary patterns (LBP) to extract the highlighted features from the spatio-temporal template and formulate them as a histogram to make the feature vector. Rather than MHL we use Directional MHI (DMHI) for this purpose. We also use shape feature taken from selective silhouettes and concatenate them with LBP histograms. We measured the performance of the proposed action representation method along with some variants of it by employing Weizmann action dataset and found reasonably higher accuracy for practical use.

关键词： Histograms Vectors Accuracy Shape computer vision Support vector machines pattern recognition

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Offline Handwritten chinese Character recognition Using Genetic Algorithm and Rough Set

Offline Handwritten Chinese Character Recognition Using Gene...

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2014 IEEE 7th Joint International Information Technology and Artificial Intelligence conference

作者： Tian Jipeng Liu Weiguang Wang Hailong Computer Science college Zhongyuan University of technology

this paper will discuss about combination of the genetic algorithm and the rough set theory to solve complex, multi-class super-deformed and multi-pattern recognition problems of the offline handwritten chinese character recognition. It gives a genetic algorithm based offline handwritten chinese character feature simple algorithm, without loss of the original information, reducing the feature vector dimension, reducing the complexity of the recognition processing. It also presents a heuristic method of redundancy reduction samples and reduction redundant training samples, to further reduce the complexity of the recognition processing. It proposes a rule-based confidence offline handwritten chinese character integration recognition rule, the experimental results show that the proposed feature reduction method of the reduction effect of the multidimensional statistical features of offline handwritten chinese character is obvious;rule confidence fusion recognition method can improve the recognition rate of off-line handwritten chinese character recognition system.

关键词： Attribute reduction,Feature extraction,Genetic algorithm,Rough sets

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Relevance model based image segmentation

Relevance model based image segmentation

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chinese Control and Decision conference, CCDC

作者： Sonhao Zhu Jiawei Liu Qingqing Luo Ronglin Hu School of Automatic Nanjing University of Post and Telecommunications 210046 China Yangzhou Suan IOT Sensor Technology Co. Ltd. 225614 China

Image segmentation is a fundamental process in computer vision applications. this paper presents a novel method to deal with the issue of image segmentation. Each image is first segmented coarsely, and represented as a graph model. then, a semi-supervised algorithm is utilized to estimate the relevance between labeled nodes and unlabeled nodes to construct a relevance matrix. Finally, a normalized cut criterion is utilized to segment images into meaningful units. the experimental results conducted on Berkeley image databases and MSRC image databases demonstrate the effectiveness of the proposed strategy.

关键词： Image segmentation computer vision conferences computers pattern recognition Databases Clustering algorithms

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Multi-feature deep learning for face gender recognition

Multi-feature deep learning for face gender recognition

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IEEE Joint International Information Technology and Artificial Intelligence conference (ITAIC)

作者： Yuxin Jiang Songbin Li Peng Liu Qiongxing Dai Haikou Laboratory Institute of Acoustics Chinese Academy of Sciences Haikou China Institute of Acoustics Chinese Academy of Sciences Beijing Beijing CN

ISBN: (纸本)9781479944187

Face gender recognition is a challenging problem in the traditional field of pattern recognition. In this paper, we propose a deep learning model that can learn the joint high-level and low-level features of human face to address this problem. Our deep neural networks apply convolution and subsampling in extracting the local and abstract features of human face, and reconstruct the raw input images to learn global and effective features as supplementary information at the same time. We also add a trainable weight in the networks when combining the two kinds of features to realize the final gender classification. Experiment results show that our method achieves the highest accuracy compared with existing methods, when test on the mixed face dataset. Further, in the generalization test, the average classification rate on 3 public datasets of our method is 5% higher than the joint Local Binary pattern (LBP) and Support Vector Machine (SVM) method, and is nearly 1% higher than the SVM with face pixels method. this proves our method outperforms the traditional methods in both learning ability and generalization ability.

关键词： Face Feature extraction Support vector machines Face recognition Joints Accuracy Neurons

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LinedCut: Image segmentation using single line interaction

LinedCut: Image segmentation using single line interaction

引用

Congress on Image and Signal Processing, CISP

作者： Haowen Qiu Chunheng Wang Baihua Xiao Zhong Zhang Song Gao The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences

ISBN: (纸本)9781479958368

In this paper, we propose LinedCut: a novel method for interactive image segmentation which requires only a single line drawing to identify the object of interest in the image. the handy interaction mode can address the problem of object scale very well. Our approach consists of the following three steps: first, a given image is over-segmented into superpixels using superpixel algorithm; secondly, a merging technique based on bag-of-color feature and k-means is applied to merge similar adjacent superpixel pairs; finally, a graph-cut based approach which exploits user interaction information is introduced to get the final segmentation result. Despite its simplicity, we show that the LinedCut method is able to achieve a performance comparable to the state-of-the-art. the method can be easily developed by replacing any one method among the three steps with other methods.

关键词： Image segmentation Merging Image color analysis Object recognition computer vision pattern analysis Histograms

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