检索结果-内蒙古大学图书馆

Contour extraction of gait recognition

Procedia Engineering 2010年 7卷 275-279页

作者： Fan Zhang Rui Li Shuai Liu College of Computer and Information Engineering Henan University Kaifeng 475001 China Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475001 China

Gait recognition is a new biometric identification technology. Its aim is to recognize people and detect physiological, pathological and mental characters by their walk style. The feature extraction of gait is the key step in gait recognition. This paper combines the background subtraction method with symmetric differential method to segment the motion human image, and then extracts the contour of motion human with improved GVF (gradient vector flow) Snake model. The experimental results show that the proposed method can extract contour features effectively for the gait recognition.

关键词： GVF snake models Gait recognition Motion segmentation Contour extraction

来源：评论

学校读者我要写书评

暂无评论

Graph-Based Text Segmentation Using a Selected Channel image

Graph-Based Text Segmentation Using a Selected Channel Image

引用

Proceedings of the Digital image Computing: Technqiues and Applications (DICTA)

作者： Chao Zeng Wenjing Jia Xiangjian He Jie Yang INEXT FEIT University of Technology Sydney Australia Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

This paper proposes a graph-based method for segmentation of a text image using a selected colour-channel image. The text colour information usually presents a two polarity trend. According to the observation that the histogram distributions of the respective colour channel images are usually different from each other, we select the colour channel image with the histogram having the biggest distance between the two main peaks, which represents the main foreground colour strength and background colour strength respectively. The peak distance is estimated by the mean-shift procedure performed on each individual channel image. Then, a graph model is constructed on a selected channel image to segment the text image into foreground and background. The proposed method is tested on a public database, and its effectiveness is demonstrated by the experimental results.

关键词： Pixel image color analysis image segmentation Histograms Lighting Text recognition Kernel

来源：评论

学校读者我要写书评

暂无评论

Tensor error correction for corrupted values in visual data

Tensor error correction for corrupted values in visual data

引用

IEEE International Conference on image processing

作者： Yin Li Yue Zhou Junchi Yan Jie Yang Xiangjian He Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University China Faculty of Engineering and Information Technology Sydney University of Technology Australia

The multi-channel image or the video clip has the natural form of tensor. The values of the tensor can be corrupted due to noise in the acquisition process. We consider the problem of recovering a tensor L of visual data from its corrupted observations X = L + S, where the corrupted entries S are unknown and unbounded, but are assumed to be sparse. Our work is built on the recent studies about the recovery of corrupted low-rank matrix via trace norm minimization. We extend the matrix case to the tensor case by the definition of tensor trace norm in. Furthermore, the problem of tensor is formulated as a convex optimization, which is much harder than its matrix form. Thus, we develop a high quality algorithm to efficiently solve the problem. Our experiments show potential applications of our method and indicate a robust and reliable solution.

关键词： Tensile stress Sparse matrices Nickel Matrix decomposition Optimization Visualization Minimization

来源：评论

学校读者我要写书评

暂无评论

Design of distributed warehouse management system based on ***

Design of distributed warehouse management system based on *...

引用

Pacific-Asia Conference on Circuits, Communications and Systems, PACCS

作者： Fan Zhang Yanbin Cui Institute of Image Processing and Pattern Recognition Henan University Kaifeng China College of Computer and Information Engineering Henan University Kaifeng China

ISBN: (纸本)9781424479689

A distributed warehouse management system is design based on the *** framework. Unlike many frameworks which focus on the database data operation or construct flexible user interface, the proposed project mainly focus on the business logic. According to the ***, the system can easily construct object-oriented business logic layers. This system can be easily configured N layers logical structure running on one to four physical layers. System environment expanded from the traditional local area network to wide area networks, and can meet the requirements of distributed applications. The system uses contact less deployment technology in the distributed environment and can be remotely updated automatically.

关键词： Logistics Security Workstations

来源：评论

学校读者我要写书评

暂无评论

Istree Digital Watermarking Algorithm Based on Contourlet Transform

Istree Digital Watermarking Algorithm Based on Contourlet Tr...

引用

International Conference on Machine Vision and Human-Machine Interface (MVHI)

作者： Fan Zhang Yuli Xu Rui Li Institute of Image Processing and Pattern Recognition Henan University Kaifeng China College of Computer and Information Engineering Henan University Kaifeng China

In order to protect the copyright of the image, in this paper proposed a novel important sub-tree (Istree) digital watermarking algorithm based on contourlet transform. First, Shuffling is applied by watermarking image for increasing robustness. Second, the original image are decomposed three levels by contourlet transform, and then analysis sub-bands in all directions, according to various levels sub-bands in all direction structure like tree. And find important sub-tree, then Scrambling after the watermark image sequence is embedded in important sub-tree. The experimental results show that the algorithm has a certain degree of robustness and can resistance attack.

关键词： Watermarking Discrete wavelet transforms Discrete transforms Wavelet transforms Discrete Fourier transforms Fourier transforms Robustness Wavelet domain image processing image analysis

来源：评论

学校读者我要写书评

暂无评论

A New Method for Optimizing The Combinational Kernels

A New Method for Optimizing The Combinational Kernels

引用

The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

作者： XUE TIAN XU YANG Institute of Electrical and Mechanical Engineering Jiaxing University Jiaxing 314001 China Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai 200240

ISBN: (纸本)9781424472352

Tbe optimal kernel selection is a critical problem for the kernel-based learning algorithm. In order to obtain good results, the kernel function must be chosen in a data-dependent manner. To this end, we propose a new feature space based class separability measure to evaluate the conformation of kernels to the data. The optimal combination coefficients of multiple Gaussian functions are obtained by optimizing this measure. Experimental results show that our algorithm outperforms the cross-validation method and the radius margin bound method, and moreover, can further improve the performances of SVM classifiers.

关键词： kernel method combinational kernels kernel optimization pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Interactive Object Extraction Using Hierarchical Graph Cuts

Interactive Object Extraction Using Hierarchical Graph Cuts

引用

2010 International Conference on Audio,Language and image processing(2010年音频、语言与图像处理国际会议 ICALIP 2010)

作者： Jian Gu Haohao Song Yan Zhang Jie Yang Shengyang Yu The Third Research Institute of Ministry of Public Security Shanghai 200031 China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240

ISBN: (纸本)9781424458653

Foreground object extraction, which aims to accurately separate a foreground object from its background in still images, plays an important role in many computer vision applications. An interactive object extraction method by extending the graph cut approach is presented in this paper. The coarse-tofine object segmentation method makes it efficiently to specify the main object and adjust the detail of object. The user interaction is simplified to drawing a rectangle around the desired object, followed by optional boundary editing. The coarse scale segmentation is performed on the basis of the initial interactive rectangle, the accurate boundary portrayal is performed at the finer scale. A pyramid structure provides a framework for the processing, and this hierarchical structure ensures rapid boundary mapping between pyramid levels. Experimental results on multiple kinds of color images show the effectiveness and convenience of the approach.

关键词： extraction of object Still images Interactive user-computer interaction color image Rectangle images computer vision Line graph

来源：评论

学校读者我要写书评

暂无评论

Frequency-DOA Joint Estimation by Ant Colony Optimization

Frequency-DOA Joint Estimation by Ant Colony Optimization

引用

The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

作者： Yong Jin Yunshan Hou Min Jiang Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475004 China College of Marine Northwestern Polytechnical University Xi'an 710072 China

ISBN: (纸本)9781424472352

The Multiple Signal Classification (MUSIC) method is a typical method for high-resolution Direction Of Arrival(DOA) and frequency estimation. Usually it performs spectrum search in certain grid space, which inevitably leads to high computational cost in the muti-dimensional case, for example the search for frequency and azimuth at the same time. To overcome this problem, in this paper, we introduced Ant Colony Optimization(ACO) to work with MUSIC. A new kind of ACO for continuous domain featured by Gauss kernel function is used to sample the MUSIC spectrum, which is regarded as the fitness function in the process. The resulted estimator is called Ant Colony Optimization based MUSIC (ACO-MUSIC). Simulations show that ACO-MUSIC not only reduces the computational complexity greatly but also maintains the excellent performance of the original MUSIC estimator.

关键词： direction of arrival multiple signal classification ant colony optimization computational complexity

来源：评论

学校读者我要写书评

暂无评论

Motion blur detection based on lowest directional high-frequency energy

Motion blur detection based on lowest directional high-frequ...

引用

IEEE International Conference on image processing

作者： Xiaogang Chen Jie Yang Qiang Wu Jiajia Zhao Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China Centre of Innovation in IT Services and Applications Sydney University of Technology Sydney Australia

Motion blur detection and the relevant blurring parameter estimation are important for many computer vision tasks. The contribution of this paper is in two folds. First, we propose a closed-form solution for motion direction estimation on blurred image. Secondly, a novel method is proposed for motion blurred region detection. The proposed direction estimation is based on measurement of lowest directional high-frequency energy. Compared with traditional methods, it will improve accuracy with less computational cost. Moreover, the proposed motion blurred region detection can efficiently estimate blurred regions without Point Spread Function estimation. Encouraging results are shown by experiments.

关键词： Estimation Pixel image segmentation image restoration Transforms Deconvolution Closed-form solution

来源：评论

学校读者我要写书评

暂无评论

A Novel Robust Watermarking Method for Certificates Based on DFT and Hough Transforms

A Novel Robust Watermarking Method for Certificates Based on...

引用

International Conference on Intelligent Information Hiding and Multimedia Signal processing (IIHMSP)

作者： Jiancheng Zou Xin Yang Shaozhang Niu Institute of Image Processing and Pattern Recognition North-China University of Technology Beijing China School of Computer Beijing University of Posts and Telecommunications Beijing China

Based on the discrete Fourier transformation (DFT) and Hough transforms, a novel digital watermarking method is proposed. The experiment results show that the algorithm is more robust than the traditional watermark algorithm. The proposed algorithm can endure severe attacks such as printing-scanning, very high loss in its data or data packets, scaling and rotating. The most advantage of the algorithm presented in this paper is that it is robust for the first time of print and scan, but fragile for the second time of print and scan. So this method can be used in the anti counterfeit of certificates.

关键词： Watermarking Discrete Fourier transforms Robustness Signal processing algorithms Pixel Binary codes

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：