检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

654 篇 会议
2 册 图书

馆藏范围

656 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

648 篇 工学
- 406 篇 机械工程
- 298 篇 计算机科学与技术...
- 17 篇 电气工程
- 14 篇 软件工程
- 11 篇 光学工程
- 4 篇 信息与通信工程
- 2 篇 控制科学与工程
- 2 篇 生物医学工程（可授...
- 2 篇 生物工程
- 1 篇 仪器科学与技术
- 1 篇 电子科学与技术（可...
- 1 篇 土木工程
- 1 篇 化学工程与技术
14 篇 理学
- 11 篇 物理学
- 5 篇 数学
- 3 篇 生物学
- 2 篇 系统科学
- 2 篇 统计学（可授理学、...
- 1 篇 化学
5 篇 管理学
- 3 篇 图书情报与档案管...
- 2 篇 管理科学与工程(可...
- 1 篇 工商管理
1 篇 法学
- 1 篇 社会学
1 篇 教育学
- 1 篇 教育学
1 篇 医学
- 1 篇 基础医学(可授医学...
- 1 篇 临床医学
- 1 篇 药学(可授医学、理...

主题

252 篇 computer vision
94 篇 image segmentati...
90 篇 cameras
86 篇 layout
84 篇 feature extracti...
83 篇 face recognition
82 篇 object recogniti...
76 篇 object detection
74 篇 image recognitio...
71 篇 humans
70 篇 shape
68 篇 robustness
66 篇 computer science
63 篇 image reconstruc...
54 篇 image classifica...
54 篇 learning (artifi...
49 篇 application soft...
49 篇 image motion ana...
41 篇 image representa...
40 篇 testing

机构

8 篇 microsoft resear...
6 篇 microsoft res as...
4 篇 robotics institu...
4 篇 carnegie mellon ...
4 篇 department of co...
4 篇 univ illinois ur...
4 篇 microsoft res re...
4 篇 department of co...
4 篇 mit cambridge ma...
4 篇 carnegie mellon ...
4 篇 cornell univ ith...
4 篇 department of co...
4 篇 stanford univ st...
4 篇 carnegie mellon ...
3 篇 penn state univ ...
3 篇 nanyang technol ...
3 篇 univ michigan an...
3 篇 univ adelaide sc...
3 篇 school of comput...
3 篇 georgia institut...

作者

6 篇 mubarak shah
6 篇 tsuhan chen
5 篇 shiguang shan
5 篇 daniel cremers
5 篇 xilin chen
5 篇 nikos paragios
5 篇 wen gao
5 篇 yanxi liu
4 篇 nassir navab
4 篇 zhang lei
4 篇 jan-michael frah...
4 篇 li stan z.
4 篇 thomas huang
4 篇 vincent lepetit
4 篇 tieniu tan
4 篇 svetha venkatesh
4 篇 narendra ahuja
4 篇 alan yuille
4 篇 de la torre fern...
4 篇 liang wang

语言

653 篇 英文
2 篇 土耳其文
1 篇 其他

检索条件"任意字段=26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013"

共 656 条记录，以下是521-530 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Joint Data Alignment Up To (Lossy) Transformations

Joint Data Alignment Up To (Lossy) Transformations

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.11

作者： Andrea Vedaldi Gregorio Guidi Stefano Soatto Computer Science Department University of California Los Angeles USA

Joint data alignment is often regarded as a data simplification process. this idea is powerful and general, but raises two delicate issues. First, one must make sure that the useful information about the data is preserved by the alignment process. this is especially important when data are affected by non-invertible transformations, such as those originating from continuous domain deformations in a discrete image lattice. We propose a formulation that explicitly avoids this pitfall. Second, one must choose an appropriate measure of data complexity. We show that standard concepts such as entropy might not be optimal for the task, and we propose alternative measures that reflect the regularity of the codebook space. We also propose a novel and efficient algorithm that allows joint alignment of a large number of samples (tens of thousands of image patches), and does not rely on the assumption that pixels are independent. this is done for the case where the data is postulated to live in an affine subspaces of the embedding space of the raw data. We apply our scheme to learn sparse bases for natural images that discount domain deformations and hence significantly decrease the complexity of codebooks while maintaining the same generative power.

关键词： Pixel Entropy Power generation computer science Lattices Code standards Measurement standards Image coding Lighting Image classification

来源：评论

学校读者我要写书评

暂无评论

Homography Based Multiple Camera Detection and Tracking of People in a Dense Crowd

Homography Based Multiple Camera Detection and Tracking of P...

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.5

作者： Ran Eshel Yael Moses Efi Arazi School of Computer Science Herzliya Israel

Tracking people in a dense crowd is a challenging problem for a single camera tracker due to occlusions and extensive motion that make human segmentation difficult. In this paper we suggest a method for simultaneously tracking all the people in a densely crowded scene using a set of cameras with overlapping fields of view. To overcome occlusions, the cameras are placed at a high elevation and only people's heads are tracked. Head detection is still difficult since each foreground region may consist of multiple subjects. By combining data from several views, height information is extracted and used for head segmentation. the head tops, which are regarded as 2D patches at various heights, are detected by applying intensity correlation to aligned frames from the different cameras. the detected head tops are then tracked using common assumptions on motion direction and velocity. the method was tested on sequences in indoor and outdoor environments under challenging illumination conditions. It was successful in tracking up to 21 people walking in a small area (2.5 people per m{sup}2), in spite of severe and persistent occlusions.

关键词： Cameras Head Tracking Motion detection Layout Trajectory Humans Radio access networks computer science Data mining

来源：评论

学校读者我要写书评

暂无评论

An Adaptive Learning Method for Target Tracking across Multiple Cameras

An Adaptive Learning Method for Target Tracking across Multi...

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.4

作者： Kuan-Wen Chen Chih-Chuan Lai Yi-Ping Hung Chu-Song Chen Department of Computer Science and Information Engineering National Taiwan University Taiwan Graduate Institute of Networking and Multimedia National Taiwan University Taiwan Institute of Information Science Academia Sinica Taiwan

this paper proposes an adaptive learning method for tracking targets across multiple cameras with disjoint views. Two visual cues are usually employed for tracking targets across cameras: spatio-temporal cue and appearance cue. To learn the relationships among cameras, traditional methods used batch-learning procedures or hand-labeled correspondence, which can work well only within a short period of time. In this paper, we propose an unsupervised method which learns both spatio-temporal relationships and appearance relationships adaptively and can be applied to long-term monitoring. Our method performs target tracking across multiple cameras while also considering the environment changes, such as sudden lighting changes. Also, we improve the estimation of spatio-temporal relationships by using the prior knowledge of camera network topology.

关键词： Learning systems Target tracking Cameras Network topology Monitoring Brightness Transfer functions Training data computer science Information science

来源：评论

学校读者我要写书评

暂无评论

Drift-free Tracking of Rigid and Articulated Objects

Drift-free Tracking of Rigid and Articulated Objects

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.6

作者： Juergen Gall Bodo Rosenhahn Hans-Peter Seidel Max-Planck-Institute of Computer Science Saarbrucken Germany

Model-based 3D tracker estimate the position, rotation, and joint angles of a given model from video data of one or multiple cameras. they often rely on image features that are tracked over time but the accumulation of small errors results in a drift away from the target object. In this work, we address the drift problem for the challenging task of human motion capture and tracking in the presence of multiple moving objects where the error accumulation becomes even more problematic due to occlusions. To this end, we propose an analysis-by-synthesis framework for articulated models. It combines the complementary concepts of patch-based and region-based matching to track both structured and homogeneous body parts. the performance of our method is demonstrated for rigid bodies, body parts, and full human bodies where the sequences contain fast movements, self-occlusions, multiple moving objects, and clutter. We also provide a quantitative error analysis and comparison with other model-based approaches.

关键词： Humans Target tracking Image motion analysis Cameras Biological system modeling Motion analysis Biomedical optical imaging computer science Error analysis Medical diagnosis

来源：评论

学校读者我要写书评

暂无评论

Unsupervised Modeling of Object Categories Using Link Analysis Techniques

Unsupervised Modeling of Object Categories Using Link Analys...

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.4

作者： Gunhee Kim Christos Faloutsos Martial Hebert School of Computer Science Carnegie Mellon University Pittsburgh PA USA

We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interactions of all unit visual features across the entire training set and we infer information, such as which features are in which categories, directly from the graph by using link analysis techniques. the link analysis techniques are based on well-established graph mining techniques used in diverse applications such as WWW, bioinformatics, and social networks. the techniques operate directly on the patterns of connections between features in the graph rather than on statistical properties, e.g., from clustering in feature space. We argue that the resulting techniques are simpler, and we show that they perform similarly or better compared to state of the art techniques on common data sets. We also show results on more challenging data sets than those that have been used in prior work on unsupervised modeling.

关键词： Information analysis Complex networks World Wide Web Social network services Data mining computer science Large-scale systems Bioinformatics Visual perception Web search

来源：评论

学校读者我要写书评

暂无评论

People-Tracking-by-Detection and People-Detection-by-Tracking

People-Tracking-by-Detection and People-Detection-by-Trackin...

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.6

作者： Mykhaylo Andriluka Stefan Roth Bernt Schiele Computer Science Department Darmstadt Germany

Both detection and tracking people are challenging problems, especially in complex real world scenes that commonly involve multiple people, complicated occlusions, and cluttered or even moving backgrounds. People detectors have been shown to be able to locate pedestrians even in complex street scenes, but false positives have remained frequent. the identification of particular individuals has remained challenging as well. Tracking methods are able to find a particular individual in image sequences, but are severely challenged by real-world scenarios such as crowded street scenes. In this paper, we combine the advantages of both detection and tracking in a single framework. the approximate articulation of each person is detected in every frame based on local features that model the appearance of individual body parts. Prior knowledge on possible articulations and temporal coherency within a walking cycle are modeled using a hierarchical Gaussian process latent variable model (hGPLVM). We show how the combination of these results improves hypotheses for position and articulation of each person in several subsequent frames. We present experimental results that demonstrate how this allows to detect and track multiple people in cluttered scenes with reoccurring occlusions.

关键词： Layout Detectors Hidden Markov models Image sequences Gaussian processes computer science Legged locomotion Cameras Indexing Surveillance

来源：评论

学校读者我要写书评

暂无评论

Model-Based Hand Tracking with Texture, Shading and Self-occlusions

Model-Based Hand Tracking with Texture, Shading and Self-occ...

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.10

作者： Martin de La Gorce Nikos Paragios David J. Fleet Laboratoire MAS Paris France INRIA Saclay Equipe GALEN Orsay France Department of Computer Science University of Toronto Canada

A novel model-based approach to 3D hand tracking from monocular video is presented. the 3D hand pose, the hand texture and the illuminant are dynamically estimated through minimization of an objective function. Derived from an inverse problem formulation, the objective function enables explicit use of texture temporal continuity and shading information, while handling important self-occlusions and time-varying illumination. the minimization is done efficiently using a quasi-Newton method, for which we propose a rigorous derivation of the objective function gradient. Particular attention is given to terms related to the change of visibility near self-occlusion boundaries that are neglected in existing formulations. In doing so we introduce new occlusion forces and show that using all gradient terms greatly improves the performance of the method. Experimental results demonstrate the potential of the formulation.

关键词： Image motion analysis Optical sensors Lighting Tracking Surface texture Shape computer science Inverse problems Minimization methods Man machine systems

来源：评论

学校读者我要写书评

暂无评论

Clothing Cosegmentation for Recognizing People

Clothing Cosegmentation for Recognizing People

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.4

作者： Andrew C. Gallagher Tsuhan Chen Carnegie Mellon University Pittsburgh PA USA

Reseachers have verified that clothing provides information about the identity of the individual. To extract features from the clothing, the clothing region first must be localized or segmented in the image. At the same time, given multiple images of the same person wearing the same clothing, we expect to improve the effectiveness of clothing segmentation. therefore, the identity recognition and clothing segmentation problems are inter-twined;a good solution for one aides in the solution for the other. We build on this idea by analyzing the mutual information between pixel locations near the face and the identity of the person to learn a global clothing mask. We segment the clothing region in each image using graph cuts based on a clothing model learned from one or multiple images believed to be the same person wearing the same clothing. We use facial features and clothing features to recognize individuals in other images. the results show that clothing segmentation provides a significant improvement in recognition accuracy for large image collections, and useful clothing masks are simultaneously produced. A further significant contribution is that we introduce a publicly available consumer image collection where each individual is identified. We hope this dataset allows the vision community to more easily compare results for tasks related to recognizing people in consumer image collections.

关键词： Clothing Image segmentation Face recognition Image recognition Humans Face detection Biological system modeling Feature extraction Information analysis Facial features

来源：评论

学校读者我要写书评

暂无评论

Real-Time Pose Estimation of Articulated Objects using Low-Level Motion

Real-Time Pose Estimation of Articulated Objects using Low-L...

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.5

作者： Ben Daubney David Gibson Neill Campbell Department of Computer Science University of Bristol UK

We present a method that is capable of tracking and estimating pose of articulated objects in real-time. this is achieved by using a bottom-up approach to detect instances of the object in each frame, these detections are then linked together using a high-level a priori motion model. Unlike other approaches that rely on appearance, our method is entirely dependent on motion;initial low-level part detection is based on how a region moves as opposed to its appearance. this work is best described as Pictorial Structures using motion. A sparse cloud of points extracted using a standard feature tracker are used as observational data, this data contains noise that is not Gaussian in nature but systematic due to tracking errors. Using a probabilistic framework we are able to overcome both corrupt and missing data whilst still inferring new poses from a generative model. Our approach requires no manual initialisation and we show results for a number of complex scenes and different classes of articulated object, this demonstrates both the robustness and versatility of the presented technique.

关键词： Motion estimation Motion detection Object detection Data mining Tracking Dynamic programming Belief propagation computer science Clouds Gaussian noise

来源：评论

学校读者我要写书评

暂无评论

Generalised Blurring Mean-Shift Algorithms for Nonparametric Clustering

Generalised Blurring Mean-Shift Algorithms for Nonparametric...

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.3

作者： Miguel A. Carreira-Perpinan EECS School of Engineering University of California Merced USA

Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. the algorithm iteratively shrinks the data set under the application of a mean-shift update, stops in just a few iterations and yields excellent clusterings. We propose several families of generalised GBMS (GGBMS) algorithms based on explicit, implicit and exponential updates, and depending on a step-size parameter. We give conditions on the step size for the convergence of these algorithms and show that the convergence rate for Gaussian clusters ranges from sublinear to linear, cubic and even higher order depending on the update and step size. We show that the algorithms are related to spectral clustering if using a random-walk matrix with modified eigenvalues and updated after each iteration, and show the relation with methods developed for surface smoothing in the computer graphics literature. Detailed experiments in toy problems and image segmentation show that, while all the GGBMS algorithms can achieve essentially the same result (for appropriate settings of the bandwidth and step size), they significantly differ in runtime, with slightly over-relaxed explicit updates being fastest in practice.

关键词： Clustering algorithms Iterative algorithms Bandwidth Convergence Kernel Image segmentation Acceleration Eigenvalues and eigenfunctions Smoothing methods computer graphics

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共66页 << < 49 50 51 52 53 54 55 56 57 58 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：