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

178 篇 会议
55 篇 期刊文献

馆藏范围

233 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

101 篇 工学
- 63 篇 计算机科学与技术...
- 52 篇 软件工程
- 20 篇 光学工程
- 18 篇 控制科学与工程
- 16 篇 机械工程
- 13 篇 电气工程
- 13 篇 信息与通信工程
- 11 篇 生物医学工程（可授...
- 10 篇 生物工程
- 9 篇 交通运输工程
- 7 篇 安全科学与工程
- 6 篇 仪器科学与技术
- 6 篇 电子科学与技术（可...
- 5 篇 土木工程
- 3 篇 力学（可授工学、理...
- 3 篇 化学工程与技术
47 篇 理学
- 24 篇 物理学
- 23 篇 数学
- 12 篇 统计学（可授理学、...
- 11 篇 生物学
- 5 篇 系统科学
- 4 篇 化学
- 3 篇 海洋科学
17 篇 管理学
- 13 篇 管理科学与工程(可...
- 7 篇 工商管理
- 7 篇 图书情报与档案管...
8 篇 医学
- 8 篇 临床医学
- 6 篇 基础医学(可授医学...
- 4 篇 药学(可授医学、理...
2 篇 法学
- 2 篇 社会学
1 篇 哲学
1 篇 教育学
1 篇 文学
1 篇 农学
1 篇 艺术学

主题

75 篇 computer vision
48 篇 robot vision sys...
41 篇 cameras
35 篇 laboratories
26 篇 layout
21 篇 intelligent robo...
20 篇 humans
19 篇 robot sensing sy...
17 篇 vehicle detectio...
17 篇 robustness
16 篇 intelligent vehi...
15 篇 vehicle driving
13 篇 feature extracti...
12 篇 visualization
12 篇 image analysis
12 篇 vehicles
11 篇 computational mo...
10 篇 object detection
10 篇 detectors
9 篇 sensor systems

机构

28 篇 computer vision ...
16 篇 computer vision ...
12 篇 computer vision ...
10 篇 computer vision ...
7 篇 computer vision ...
5 篇 computer vision ...
5 篇 department of qu...
5 篇 ihu strasbourg s...
5 篇 computer vision ...
5 篇 heidelberg
4 篇 centre for medic...
4 篇 computer vision ...
4 篇 department of me...
4 篇 faculty of mathe...
4 篇 department of ge...
3 篇 department of co...
3 篇 university of pe...
3 篇 department of co...
3 篇 vector institute...
3 篇 erlangen-nürnber...

作者

56 篇 m.m. trivedi
20 篇 mohan m. trivedi
17 篇 trivedi mohan m.
10 篇 j.c. mccall
8 篇 m. trivedi
8 篇 mohan trivedi
7 篇 trivedi mohan
7 篇 trivedi mm
6 篇 panos trahanias
6 篇 s.b. marapane
6 篇 t. gandhi
6 篇 brendan morris
5 篇 michail maniadak...
5 篇 bakas spyridon
5 篇 gandhi tarak
5 篇 g. ravichandran
5 篇 eshed ohn-bar
5 篇 reyes mauricio
5 篇 menze bjoern
5 篇 in so kweon

语言

224 篇 英文
8 篇 其他
1 篇 中文

检索条件"机构=Computer Vision and Robotics Research Laboratory"

共 233 条记录，以下是71-80 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：

Driver activity analysis for intelligent vehicles: issues and development framework

Driver activity analysis for intelligent vehicles: issues an...

引用

IEEE Symposium on Intelligent Vehicle

作者： S. Park Mohan Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego USA

This paper examines the feasibility of a semantic-level driver activity analysis system. Several new considerations are made to construct the hierarchy of driver activity. Driver activity is represented and recognized at multiple levels: individual body-part pose/gesture at the low level, single body-part action at the middle level, and the driver interaction with the vehicle at the high level. Driving is represented in terms of the interactions among driver, vehicle, and surround, and driver activity is recognized by a rule-based decision tree. Our system works with a single color camera data, and it can be easily expanded to incorporate multimodal sensor data.

关键词： Intelligent vehicles Vehicle driving Vehicle safety computer vision Robot vision systems Global Positioning System Vehicle detection Roads Torso Head

来源：评论

学校读者我要写书评

暂无评论

Performance evaluation of a vision based lane tracker designed for driver assistance systems

Performance evaluation of a vision based lane tracker design...

引用

IEEE Symposium on Intelligent Vehicle

作者： J.C. McCall M.M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego USA

Driver assistance systems that monitor driver intent, warn drivers of lane departures, or assist in vehicle guidance are all being actively research and even put into commercial production. It is therefore important to take a critical look at key aspects of these systems, one of which being lane position tracking. In this paper we present an analysis of lane position tracking in the context of driver support systems and examine previous research in this area. Using this analysis we present a lane tracking system designed to work well under a variety of road and environmental conditions. We examine what types of metrics are important for evaluating lane position accuracy for specific overall system objectives. A detailed quantitative evaluation of the system is presented in this paper using a variety of metrics and test conditions.

关键词： Roads Monitoring Vehicle driving Navigation Intelligent robots Intelligent vehicles Humans Alarm systems Layout computer vision

来源：评论

学校读者我要写书评

暂无评论

Particle filtering with rendered models: A two pass approach to multi-object 3D tracking with the GPU

Particle filtering with rendered models: A two pass approach...

引用

IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)

作者： Erik Murphy-Chutorian Mohan M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego USA

We describe a new approach to vision-based 3D object tracking, using appearance-based particle filters to follow 3D model reconstructions. This method is targeted towards modern graphics processors, which are optimized for 3D reconstruction and are capable of highly parallel computation. We discuss an OpenGL implementation of this approach, which uses two rendering passes to update the particle filter weights. In the first pass, the system renders the previous object state estimates to an off-screen framebuffer. In the second pass, the system uses a programmable vertex shader to compute the mean normalized cross-correlation between each sample and the subsequent video frame. The particle filters are updated using the correlation scores and provide a full 3D track of the objects. We provide examples for tracking human heads in both single and multi-camera scenarios.

关键词： Filtering Particle tracking Rendering (computer graphics) Particle filters Target tracking Graphics Optimization methods Concurrent computing State estimation Humans

来源：评论

学校读者我要写书评

暂无评论

vision modules for a multi-sensory bridge monitoring approach

Vision modules for a multi-sensory bridge monitoring approac...

引用

International Conference on Intelligent Transportation

作者： R. Chang T. Gandhi M.M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego USA

This work presents the use of multiple sensor modalities in order to perform traffic analysis for health monitoring of transportation infrastructure. In particular, testbeds containing video and seismic sensors giving complementary information about vehicles are described. computer vision algorithms are used to detect and track the vehicles and extract their properties. This information is combined with the data from seismic sensors for robust classification of vehicles. Experimental results obtained with our testbeds are described.

关键词： Bridges computerized monitoring Testing Performance analysis Transportation Sensor phenomena and characterization computer vision Vehicle detection Data mining Robustness

来源：评论

学校读者我要写书评

暂无评论

Head Pose Estimation for Driver Assistance Systems: A Robust Algorithm and Experimental Evaluation

Head Pose Estimation for Driver Assistance Systems: A Robust...

引用

International Conference on Intelligent Transportation

作者： Erik Murphy-Chutorian Anup Doshi Mohan Manubhai Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego USA

Recognizing driver awareness is an important prerequisite for the design of advanced automotive safety systems. Since visual attention is constrained to a driver's field of view, knowing where a driver is looking provides useful cues about his activity and awareness of the environment. This work presents an identity-and lighting-invariant system to estimate a driver's head pose. The system is fully autonomous and operates online in daytime and nighttime driving conditions, using a monocular video camera sensitive to visible and near-infrared light. We investigate the limitations of alternative systems when operated in a moving vehicle and compare our approach, which integrates Localized Gradient Orientation histograms with support vector machines for regression. We estimate the orientation of the driver's head in two degrees-of-freedom and evaluate the accuracy of our method in a vehicular testbed equipped with a cinematic motion capture system.

关键词： Robustness Magnetic heads Automotive engineering Safety Cameras Remotely operated vehicles Histograms Support vector machines Motion estimation System testing

来源：评论

学校读者我要写书评

暂无评论

Pose invariant affect analysis using thin-plate splines

Pose invariant affect analysis using thin-plate splines

引用

International Conference on Pattern Recognition

作者： J.C. McCall M.M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego USA

This paper introduces a method for pose-invariant facial affect analysis and a real-time system for facial affect analysis using this method. The method is centered on developing a feature vector that is more robust to rigid body movements while retaining information important to facial affect analysis. This feature vector is produced using thin-plate splines to extract affine transformations independently from nonlinear transformations quickly and efficiently. The affine portion can be used to describe the rigid body motion because planar motions in a perspective projection can be approximated by an affine transformation. Removing the affine portion and using the nonlinear portion of the thin-plate spline warping provides information on the nonlinear motion caused by facial affects. The real-time system developed using this method is composed of three main components: facial landmark tracking, feature vector extraction, and affect classification. The system processes streaming video in real-time. Testing was performed to examine the invariance to rotation as well as subject independence of the system. Finally, its application in real-world environments is discussed.

关键词： Magnetic heads Real time systems Robustness Data mining Feature extraction Machine vision computer vision Robot vision systems Laboratories Information analysis

来源：评论

学校读者我要写书评

暂无评论

Visual context capture and analysis for driver attention monitoring

Visual context capture and analysis for driver attention mon...

引用

International Conference on Intelligent Transportation

作者： J.C. McCall M.M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego USA

Driver distraction is recognized as a major factor in the cause of automobile accidents. Therefore, it is extremely important for an intelligent driver support system to be able to monitor the driver's attentive state. This paper proposes a system to monitor driver attention based on a variety of information sources. The LISA-Q test vehicle is used to synchronously capture video, audio, vehicle information, LASER RADAR information, and GPS information as input to the driver state evaluation. Information about the driver's facial affects, lane keeping, steering movements, and time headway are all extracted from the multimodal data streams and evaluated.

关键词： Monitoring Vehicle driving Laser radar Automobiles Accidents Intelligent systems Testing Global Positioning System Data mining Streaming media

来源：评论

学校读者我要写书评

暂无评论

Multimodal Stereo Image Registration for Pedestrian Detection

Multimodal Stereo Image Registration for Pedestrian Detectio...

引用

International Conference on Intelligent Transportation

作者： S. Krotosky M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego USA

This paper presents an approach for the registration of multimodal imagery for pedestrian detection when the significant depth differences of objects in the scene preclude a global alignment assumption. Using maximization-of-mutual-information matching techniques and sliding correspondence windows over calibrated image pairs, we demonstrate successful registration of color and thermal data. We develop a robust method using disparity voting for determining the registration of each object in the scene and provide a statistically based measure for evaluating the match confidence. Testing shows successful registration in complex scenes with multiple people at different depths and levels of occlusion

关键词： Image registration Layout Cameras Image color analysis Image analysis Voting Robustness Infrared imaging Infrared detectors Information analysis

来源：评论

学校读者我要写书评

暂无评论

Human Behavior Based Predictive Brake Assistance

Human Behavior Based Predictive Brake Assistance

引用

IEEE Symposium on Intelligent Vehicle

作者： J.C. Mccall M.M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego USA

Driver assistance systems have both the potential to alert the driver to critical situations and distract or annoy the driver if the driver is already aware of the situation. As systems attempt to preemptively warn drivers more and more in advance, this problem becomes exacerbated. We present a predictive braking assistance system that identifies not only the need for braking action, but also whether or not a braking action is being planned by the driver. Our system uses a Bayesian framework to determine the criticality of the situation by assessing (1) the probability that braking should be performed given observations of the vehicle and surround and (2) the probability that the driver intends to perform a braking action. We train and evaluate our system using over 22 hours of data collected from real driving scenarios with 28 different drivers

关键词： Humans Control systems Bayesian methods Vehicle driving Remotely operated vehicles Hidden Markov models Road accidents Programmable control Adaptive control Sensor systems

来源：评论

学校读者我要写书评

暂无评论

Facial Action Coding Using Multiple Visual Cues and a Hierarchy of Particle Filters

Facial Action Coding Using Multiple Visual Cues and a Hierar...

引用

IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)

作者： J.C. McCall M.M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego USA

In this paper we present a framework for tracking nonrigid facial landmarks by combining various visual cues at multiple levels of detail. Using a probabilistic framework consisting of a hierarchy of particle filters, we are able to track individual facial landmarks using multiple visual cues at the local level, as well as tracking results at more coarse level of detail. This allows for the fusion of global and local cues in an efficient and robust manner. Testing is performed by tracking and classifying facial action codes obtained from the Cohn-Kanade AU-Coded Facial Expression Database.

关键词： Particle filters Face detection Robustness Particle tracking computer vision Intelligent vehicles Humans Magnetic heads Filtering Robot vision systems

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24页 << < 4 5 6 7 8 9 10 11 12 13 > >>

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：