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检索条件"任意字段=MIPPR 2011: Pattern Recognition and Computer Vision"

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Detecting individual in crowd with moving feature's structure consistency

Detecting individual in crowd with moving feature's structur...

引用

International Conference on computer vision Workshops (ICCV Workshops)

作者： Yuanhao Yu Zhen Lei Dong Yi Stan Z. Li Center of Biometrics and Security Research & National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China

In this paper, we present a method for detecting individuals in crowd by clustering a group of feature points belonging to the same person. In our approach, a feature point is considered to contain three attributes: the motion trajectory in video sequence, the sparse local appearance around point in current frame, and the structure relationship with body center related with local appearance. We exploit these attributes to cluster them appearing on the same individual to achieve detection purpose. The algorithm does not require observing entire human body and could discriminate different individuals under overlap. Our experiments show that this approach advances the performance of detecting individuals in crowds.

关键词： Feature extraction Power capacitors Robustness Trajectory Video sequences Clustering algorithms Humans

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The importance of intermediate representations for the modeling of 2D shape detection: Endstopping and curvature tuned computations

The importance of intermediate representations for the model...

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Antonio J. Rodríguez-Sánchez John K. Tsotsos Centre of Vision Research and Department of Computer Science and Engineering York University Toronto ONT Canada

Computational models of visual processes with biological inspiration - and even biological realism - are currently of great interest in the computer vision community. This paper provides a biologically plausible model of 2D shape which incorporates intermediate layers of visual representation that have not previously been fully explored. We propose that endstopping and curvature cells are of great importance for shape selectivity and show how their combination can lead to shape selective neurons. This shape representation model provides a highly accurate fit with neural data from and provides comparable results with real-world images to current computer vision systems. The conclusion is that such intermediate representations may no longer require a learning approach as a bridge between early representations based on Gabor or Difference of Gaussian filters (that are not learned since they are well-understood) and later representations closer to object representations that still can benefit from a learning methodology.

关键词： Neurons Shape Computational modeling Mathematical model Atmospheric modeling Biological system modeling

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Information Processing in Medical Imaging 1

引用

丛书名： Lecture Notes in computer Science 6801

2011年

作者： Gábor Székely,Horst K. Hahn

ISBN: (数字)9783642220920

ISBN: (纸本)9783642220913

This book constitutes the refereed proceedings of the 22nd International Conference on Information Processing in Medical Imaging, IPMI 2011, held at Kloster Irsee, Germany, in July 2011. The 24 full papers and 39 poster papers included in this volume were carefully reviewed and selected from 224 submissions. The papers are organized in topical sections on segmentation, statistical methods, shape analysis, registration, diffusion imaging, disease progression modeling, and computer aided diagnosis. The poster sessions deal with segmentation, shape analysis, statistical methods, image reconstruction, microscopic image analysis, computer aided diagnosis, diffusion imaging, functional brain analysis, registration and other related topics.

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A Benchmark Kannada Handwritten Document Dataset and Its Segmentation

A Benchmark Kannada Handwritten Document Dataset and Its Seg...

引用

International Conference on Document Analysis and recognition

作者： Alireza Alaei P. Nagabhushan Umapada Pal Department of Studies in Computer Science University of Mysore Mysore India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India

Research towards Indian handwritten document analysis achieved increasing attention in recent years. In pattern recognition and especially in handwritten document recognition, standard databases play vital roles for evaluating performances of algorithms and comparing results obtained by different groups of researchers. For Indian languages, there is a lack of standard database of handwritten texts to evaluate performance of different document recognition approaches and for comparison purpose. In this paper, an unconstrained Kannada handwritten text database (KHTD) is introduced. The KHTD contains 204 handwritten documents of four different categories written by 51 native speakers of Kannada. Total number of text-lines and words in the dataset are 4298 and 26115, respectively. In most of text-pages of the KHTD contains either an overlapping or a touching text-lines and the average number of text-lines in each document on the database is 21. Two types of ground truths based on pixels information and content information are generated for the database. Providing these two types of ground truths for the KHTD, it can be utilized in many areas of document image processing such as sentence recognition/understanding, text-line segmentation, word segmentation, word recognition, and character segmentation. To provide a framework for other researches, recent text-line segmentation results on this dataset are also reported. The KHTD is available for research purposes.

关键词： Databases Image segmentation Handwriting recognition Character recognition Training Testing

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On experimenting with pedestrian classification using neural network

On experimenting with pedestrian classification using neural...

引用

International Conference on Electronic computer Technology

作者： R. Rajesh K. Rajeev V. Gopakumar K. Suchithra V. P. Lekhesh TDC Network Systems and Technologies Private Limited Thiruvananthapuram India

Pedestrian classification is addressed by T. Watanabe et al. using SVM with 34704 CoHOG features. This paper addresses the pedestrian classification using neural network with 1344 CoHOG features (feature size is 25 ti... 详细信息

关键词： computer vision Intelligent vehicles pattern recognition Artificial neural networks Histograms Humans Conferences

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A Munkres Particle Swarm optimization algorithm for point pattern matching

A Munkres Particle Swarm optimization algorithm for point pa...

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International Conference on Human Health and Biomedical Engineering

作者： You Zhou Wei Wei Chong Yu Ying Sun Chong Xing Wei Shen Xiaohu Shi College of Computer Science and Technology Jilin University Changchun China

ISBN: (纸本)9781612847238

Particle Swarm Optimization combines with Munkres algorithm is proposed for Point pattern Matching in three dimensions. Point pattern Matching is a fundamental aspect of many fields in computer vision and pattern recognition. The point pattern matching technique could be described as finding an optimal transformation for one point pattern to the other under some measures. The proposed algorithm can be used to perform reliable matching between two different views of an object or scene. A new formula is proposed and used as a reasonable fitness function. The advantages of Munkres and Particle Swarm optimization are used and combined together in this paper. The simulated results show that the new algorithm is very effective.

关键词： pattern matching Three dimensional displays Particle swarm optimization Biology Algorithm design and analysis Root mean square Optimization

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A study of human activity sequence segmentation based on gaussian model

A study of human activity sequence segmentation based on gau...

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Congress on Image and Signal Processing, CISP

作者： Wei Xiong Er-hu Zhang Department of Information Science Xi'an University of Technology Xi'an China

Human activity analysis based on video is a hot research topic in the field of computer vision, in which segmentation of human activity sequence is a fundamental question. In this paper, we present a new unsupervised segmentation method for human activity sequence. The main idea of this method is that the most dramatic point, which is regarded as the split point, is detected by gaussian model according to human action's mutation in the video. Experimental results show the feasibility and effectiveness of the segmentation algorithm in this paper.

关键词： Humans Image segmentation Motion segmentation Hidden Markov models pattern recognition computer vision Video sequences

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Gabor-LBP Based Region Covariance Descriptor for Person Re-identification

Gabor-LBP Based Region Covariance Descriptor for Person Re-i...

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International Conference on Image and Graphics (ICIG)

作者： Ying Zhang Shutao Li College of Electrical and Information Engineering Hunan University Changsha China

Person re-identification is an important problem in computer vision, which involves matching appearance of individuals between non-overlapping camera views. In this paper we present a novel appearance-based method for person re-identification problem. Color feature, Gabor, local binary pattern (LBP) are utilized to form a covariance descriptor to handle the difficulties such as varying illumination, viewpoint angle and non-rigid body, then distances of these features are computed to match these individuals. Experimental results over the challenging dataset VIPeR demonstrate that our method obtains competitive performance.

关键词： Feature extraction Cameras Image color analysis Covariance matrix Lighting computer vision Face recognition

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A surveillance video analysis and storage scheme for scalable synopsis browsing

A surveillance video analysis and storage scheme for scalabl...

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International Conference on computer vision Workshops (ICCV Workshops)

作者： Shizheng Wang Jianwei Yang Yanyun Zhao Anni Cai Stan Z. Li CBSR & NLPR Institute of Automation Chinese Academy of Sciences China Multimedia Communication and Pattern Recognition Laboratories Beijing University of Posts and Telecommunications China

We propose a framework for efficient storing and scalable browsing of surveillance video based on video synopsis. Our framework employs a novel synopsis analysis scheme named Detail-based video synopsis to generate a set of object flags to store and browse surveillance video synopsis. The main contributions of our work are: 1) highlighting important contents of surveillance video; 2) improving the storage efficiency of original video and synopsis video; 3) realizing multi-scale scalable browsing of synopsis video while reserving essential information. The experiments of implementing the framework are shown compared with the previous independent storage method of original video and synopsis video.

关键词： Electron tubes Surveillance Streaming media Video coding Encoding Scalability Databases

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A New Text-Line Alignment Approach Based on Piece-Wise Painting Algorithm for Handwritten Documents

A New Text-Line Alignment Approach Based on Piece-Wise Paint...

引用

International Conference on Document Analysis and recognition

Because of writing styles of different individuals, some of the text-lines may be curved in shape. For recognition of such text-lines, their proper alignment is necessary. In this paper, we propose a text-line alignment technique based on painting algorithm. Here at first, Piece-wise Painting Algorithm (PPA) is used to get a number of black and white rectangular patches all along the text-line for text-line alignment. Identifying the degree of oscillation of the input text-line, some candidate pixels are also obtained based on horizontal projection and center points of the black patches. Using the degree of oscillation of the input text image and the candidate pixels a curve or straight line is fit to trace the baseline. Subsequently, all components of the text-line are deskewed based on analyzing the characteristic of the fit curve or line to align the components with respect to the horizontal imaginary baseline. The proposed algorithm was evaluated with 128 Persian handwritten text-lines containing 4317 sub words. Experimental analysis showed that 92.31% of the sub words were accurately aligned. Further, the proposed algorithm was tested with another Persian handwritten text-lines dataset [6] and remarkable results were achieved.

关键词： Oscillators Painting Polynomials Algorithm design and analysis Curve fitting Estimation pattern recognition

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