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

6,416 篇 会议
961 篇 期刊文献
4 篇 学位论文
1 册 图书

馆藏范围

7,382 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,187 篇 工学
- 1,126 篇 电气工程
- 924 篇 计算机科学与技术...
- 665 篇 信息与通信工程
- 271 篇 控制科学与工程
- 203 篇 仪器科学与技术
- 165 篇 机械工程
- 164 篇 软件工程
- 128 篇 电子科学与技术（可...
- 101 篇 交通运输工程
- 100 篇 生物医学工程（可授...
- 88 篇 测绘科学与技术
- 72 篇 航空宇航科学与技...
- 34 篇 土木工程
- 29 篇 生物工程
- 24 篇 环境科学与工程（可...
- 19 篇 网络空间安全
- 17 篇 船舶与海洋工程
- 16 篇 光学工程
284 篇 理学
- 80 篇 系统科学
- 62 篇 物理学
- 50 篇 地球物理学
- 34 篇 数学
- 34 篇 生物学
- 22 篇 地理学
180 篇 医学
- 120 篇 临床医学
- 29 篇 基础医学(可授医学...
164 篇 管理学
- 155 篇 管理科学与工程(可...
49 篇 农学
- 26 篇 作物学
- 22 篇 农业资源与环境
35 篇 文学
- 35 篇 新闻传播学
14 篇 艺术学
6 篇 军事学
5 篇 经济学
4 篇 教育学
3 篇 法学

主题

7,382 篇 detection algori...
757 篇 detectors
746 篇 feature extracti...
620 篇 algorithm design...
570 篇 object detection
529 篇 image edge detec...
384 篇 testing
362 篇 robustness
330 篇 cameras
307 篇 computer science
282 篇 monitoring
274 篇 data mining
269 篇 accuracy
262 篇 computational mo...
255 篇 image segmentati...
234 篇 signal to noise ...
231 篇 clustering algor...
199 篇 change detection...
195 篇 pixel
193 篇 electrocardiogra...

机构

17 篇 school of electr...
14 篇 beijing universi...
13 篇 department of el...
13 篇 department of el...
11 篇 institute for in...
11 篇 department of el...
10 篇 national mobile ...
9 篇 department of el...
9 篇 wireless theorie...
8 篇 department of el...
8 篇 graduate school ...
8 篇 department of au...
8 篇 institute of com...
7 篇 beijing key labo...
7 篇 school of electr...
7 篇 department of el...
7 篇 department of el...
7 篇 department of el...
7 篇 mit lincoln labo...
7 篇 southeast univ n...

作者

13 篇 wei li
13 篇 bin wu
9 篇 dacheng yang
9 篇 ming chen
9 篇 h. wang
9 篇 r. raheli
8 篇 xin liu
8 篇 jaeseok kim
8 篇 shixin cheng
8 篇 keiichi tamura
8 篇 v.k. garg
8 篇 j. mcnames
8 篇 xin zhang
7 篇 lei wang
7 篇 a. schaum
7 篇 hajime kitakami
7 篇 hui zhao
7 篇 giulio colavolpe
7 篇 hui li
7 篇 yong li

语言

7,303 篇 英文
38 篇 其他
36 篇 中文
4 篇 西班牙文
1 篇 土耳其文

检索条件"主题词=Detection algorithms"

共 7382 条记录，以下是4841-4850 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：

detection of Specular Highlights in Color Images using a New Color Space Transformation

Detection of Specular Highlights in Color Images using a New...

引用

IEEE International Conference on Robotics and Biomimetics

作者： Jae Byung Park School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

This paper presents a novel approach to detecting specular highlights in color images taken under non-white illumination conditions. Considering significance of the dichromatic reflection model, our new color representation scheme helps to locate dichromatic planes in which specular highlights can be efficiently detected. We first address how to approximate the color of illuminant and define a new axis in the RGB color cube - namely illumination axis - that comes from the notion of the brightness of the illuminant color. Based on the estimation of the illuminant color, the RGB color space is to be transformed into a new color representation with respect to the estimated color of illuminant. Our proposed specularity detection scheme that consists of the following three steps: (1) determine the dichromatic plane of the object in our new color space, (2) detect both non-specular and unsaturated specular pixels in the dichromatic plane, and (3) detect saturated (clipped) specular pixels which are not in the dichromatic plane

关键词： Color Lighting Object detection Pixel Optical reflection Reflectivity detection algorithms Layout Brightness Image processing

来源：评论

学校读者我要写书评

暂无评论

RESTORATION OF DIGITIZED VIDEO SEQUENCES: AN EFFICIENT DROP-OUT detection AND REMOVAL FRAMEWORK

RESTORATION OF DIGITIZED VIDEO SEQUENCES: AN EFFICIENT DROP-...

引用

International Conference on Image Processing

作者： Hagen Kaprykowsky Mohan Liu Patrick Ndjiki-Nya Image Communication Group Image Processing Department Fraunhofer Institute for Telecommunications - Heinrich-Hertz-Institut

ISBN: (纸本)9781424456536;9781424456543

Millions of hours of valuable audiovisual content is endangered or already destroyed. Today, restoration is mainly done manually, which is time-consuming, costly and thus simply infeasible for large amounts of data. For this reason, automation of restoration efforts is of major importance to win the race against time. In this paper, a framework for efficient drop-out detection and restoration is presented. This artifact class is one of the most frequently occurring in video archives. The proposed detection algorithm is a two-pass approach, where frames of the potentially deteriorated video sequences are classified into valid and suspect based on global color statistics of the images. Suspect pictures are further submitted to local, quad-tree-based analysis for refined evaluations. This yields a subset of identified damaged pictures with accurately localized defects. Detected defective frames are restored using a motion compensation-based approach. Experiments on a data set based on video sequences of the "PrestoSpace" project show very promising results.

关键词： Restoration Drop-out Defect detection Defect removal Motion compensation Quad-tree restoration quaternary tree Motion compensation Defect detection Videotapes detection algorithms Dropping out Video sequences

来源：评论

学校读者我要写书评

暂无评论

Automatic arrhythmia detection based on heart beat interval series recorded through bed sensors during sleep

Automatic arrhythmia detection based on heart beat interval ...

引用

Computers in Cardiology (CinC)

作者： Matteo Migliorini Ramona Cabiddu Sergio Cerutti Luca T Mainardi Juha M Kortelainen Anna M Bianchi Department of Bioengineering Politecnico di Milano Milan Italy VTT Technical Research Center of Finland Tampere Finland

A high frequency of cardiac arrhythmias has been reported in sleep disordered patients. In order to detect the presence of arrhythmia during sleep, cardiac activity needs to be monitored. Several devices exist able to provide reliable Heart Rate Variability (HRV) measures in a minimally-intrusive way. Hence, there is the need for the development of robust methods for arrhythmia detection based on HRV measures. In the present study a method for automatic arrhythmia detection based on the analysis of an inter-beat series was developed and validated on recordings coming from the MIT-BIH Arrhythmia Database. The method was also applied on a beat to beat interval series obtained from the ballistocardiographic (BCG) signal of one subject, which was recorded during sleep using an innovative bed sensor which allowed for a noncontact and unobtrusive recording. When compared to the results of arrhythmia detection performed on the electrocardiographic (ECG) signal (concurrently acquired using polysomnography) using Cardioline Cube HOLTER analysis software, our method achieved a sensitivity of 55.6%, a specificity of 94.7% and an accuracy of 91.8%. Our results suggest that the bed sensor could represent a reliable tool to assist the clinician in arrhythmia detection.

关键词： Sleep apnea Electrocardiography Sensors Databases Sensitivity detection algorithms Heart rate variability

来源：评论

学校读者我要写书评

暂无评论

Introducing the EmteqVR Interface for Affect detection in Virtual Reality

Introducing the EmteqVR Interface for Affect Detection in Vi...

引用

International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)

作者： Ifigeneia Mavridou Ellen Seiss Theodoros Kostoulas Mahyar Hamedi Emili Balaguer-Ballester Charles Nduka Centre of Digital Entertainment Bournemouth University UK SC2 AN Research Group Bournemouth University UK Bournemouth University UK Emteq Ltd. Brighton UK

This paper introduces the wearable technology EmteqVR ™ which can detect facial expressions and physiological responses from the user's facial area whilst the user is wearing a commercial Virtual Reality head mounted display (HMD). This EmteqVR interface, an evolution of the earlier prototype called “Faceteq”, comprises nine biometric sensors including f-EMG, PPG and IMU, enabling it to detect the affective state of the user in real time. This newly developed technology can revolutionize the way we collect data, design experiences and interact within Virtual, Mixed and Augmented Realities. In addition, this novel approach could assist in healthcare interventions and future experimental studies. Our team developed a Virtual Reality experience specifically designed to induce various emotional responses to users. We will demonstrate how the current interface and a custom expression detection algorithm are used in real-time to provide feedback on the user's affective state within Virtual Reality.

关键词： Virtual reality Real-time systems Physiology Sensors Headphones detection algorithms Affective computing

来源：评论

学校读者我要写书评

暂无评论

A novel human detection algorithm combining HOG with LBP histogram Fourier

A novel human detection algorithm combining HOG with LBP his...

引用

International Conference on Communications and Networking in China (CHINACOM)

作者： Aili Wang Shiyu Dai Mingji Yang Yuji Iwahori Higher Education Key Lab for Measuring & Control Technology and Instrumentations of Heilongjiang Harbin University of Science and Technology Harbin China Dept. of Computer Science Chubu University Aichi Japan

ISBN: (纸本)9781479987962

Human detection is a key problem in computer vision, with several applications that have the potential to positively impact quality of life. In recent years, the number of approaches to detect human in video sequences has grown steadily. This paper proposed a novel approach to improve the capability of human detection. After investigating the image texture analysis methods, we adopt the new good texture descriptor, Local Binary Pattern histogram Fourier (LBPHF). Then we combine the LBPHF with the Histograms of Oriented Gradients (HOG) as feature sets, and use linear SVM to train our classifier. In the experiment on the INRIA personal dataset which is well known relatively good human detection's dataset, it is shown that our detector combining with the LBPHF significantly outperforms the other methods. Moreover, the time cost is much less and the dimension is reduced.

关键词： Feature extraction Histograms Support vector machines Detectors Training detection algorithms Computer vision

来源：评论

学校读者我要写书评

暂无评论

A novel finite state machine based step detection technique for pedestrian navigation systems

A novel finite state machine based step detection technique ...

引用

International Conference on Indoor Positioning and Indoor Navigation (IPIN)

作者： J. Ruppelt N. Kronenwett G. F. Trommer Institute of Systems Optimization (ITE) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany ITMO University Russia

In this paper we present a novel finite state machine based step detection technique for precise personal navigation solutions with a foot-mounted inertial measurement unit (IMU). Generally, step detection methods are used to improve the navigation solution by applying Zero Velocity Updates (ZUPTs) in the navigation filter. All step detection techniques distort the navigation solution if ZUPTs are utilized at wrong times. Our approach based on a finite state machine is able to detect different stances of the foot with high accuracy. Therefore, Zero Velocity Updates can be applied in time and positively affect the precision of the navigation solution. The functionality of the step detection module in combination with a constraint, stochastic cloning (SC) Kalman filter are analyzed with real sensor data recorded with our pedestrian navigation system. Even with ultra-low cost inertial sensors, this new approach can clearly increase the accuracy of pedestrian navigation systems compared to state-of-the-art approaches.

关键词： Navigation Foot Loading Laser stability detection algorithms Filtering algorithms Torso

来源：评论

学校读者我要写书评

暂无评论

Parallel implementation on DSPs of a face detection algorithm

Parallel implementation on DSPs of a face detection algorith...

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： F. Yang M. Paindavoine H. Abdi Laboratoire LE2I Université de Bourgogne Dijon France

In order to localize the face in an image, our approach consists of approximating the face oval shape with an ellipse and to compute coordinates of the center of the ellipse. For this purpose, we explore a new version of the Hough transformation: the fuzzy generalized Hough transformation. To reduce the computation time, we present also a parallel implementation of the algorithm on 2 digital signal processors and we show that an acceleration of a factor of 1.62 has been obtained.

关键词： Digital signal processing Face detection Image edge detection Humans Signal processing algorithms Shape Digital signal processors detection algorithms Concurrent computing Acceleration

来源：评论

学校读者我要写书评

暂无评论

Error Correction Decoding for Underwater Acoustic Tag detection

Error Correction Decoding for Underwater Acoustic Tag Detect...

引用

OCEANS

作者： Joseph Hall Y. Rosa Zheng Zhiqun Daniel Deng Lehigh University 19 Memorial Dr. West Bethlehem PA Energy and Environment Directorate Pacific Northwest National Laboratory PO Box 999 Richland WA

ISBN: (纸本)9781728114521

This paper presents a decoding method applied to a set of underwater acoustic tags that employ very short signal beacons periodically transmitted. The tags use the CRC8-Dallas linear block code for error detection originally. Though the CRC8-Dallas is quite weak, syndrome-based error correction is applied to correct the decoding errors. Meanwhile, multi-channel array receivers are utilized to find the common decodes of the tag IDs, and the list of the true tag IDs is used to test the detection accuracy and false alarm rate. The proposed syndrome decoding method is applied to over 2 million files recorded in field experiments. The results demonstrate that the syndrome method yields around 9.85% more true positive decodes at the cost of a 2 - 5 times increase in false positive rates. Further insights are also gained to enable future improvement of the detection algorithms.

关键词： DECODING error correction detection algorithms TAGGING Underwater Error detection

来源：评论

学校读者我要写书评

暂无评论

Infrared Image Pedestrian detection via YOLO-V3

Infrared Image Pedestrian Detection via YOLO-V3

引用

IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

作者： Wei Li School of Artificial Intelligence and Automation Huazhong University of Science and Technology

ISBN: (数字)9781728180281

ISBN: (纸本)9781728180298

Thermal imaging is often used for pedestrian detection at night to make up for the inability of traditional cameras to be used in harsh lighting conditions. However, the pedestrian detection technology based on thermal imaging is difficult to overcome the interference of high-heat objects around the human body, and it is easy to cause misidentification. This paper proposes to detect pedestrians in infrared images at night through the YOLO-V3 detection framework. Experimental results show that the proposed method can not only accurately locate pedestrians at night, but also maintain high detection accuracy when pedestrians overlap.

关键词： Neural networks Lighting Interference Security Information technology detection algorithms Monitoring

来源：评论

学校读者我要写书评

暂无评论

Automated fall detection on privacy-enhanced video

Automated fall detection on privacy-enhanced video

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Alex Edgcomb Frank Vahid Department of Computer Science and Engineering University of California Riverside CA USA Center of Embedded Computer Systems University of California Irvine USA

A privacy-enhanced video obscures the appearance of a person in the video. We consider four privacy enhancements: blurring of the person, silhouetting of the person, covering the person with a graphical box, and covering the person with a graphical oval. We demonstrate that an automated video-based fall detection algorithm can be as accurate on privacy-enhanced video as on raw video. The algorithm operated on video from a stationary in-home camera, using a foreground-background segmentation algorithm to extract a minimum bounding rectangle (MBR) around the motion in the video, and using time series shapelet analysis on the height and width of the rectangle to detect falls. We report accuracy applying fall detection on 23 scenarios depicted as raw video and privacy-enhanced videos involving a sole actor portraying normal activities and various falls. We found that fall detection on privacy-enhanced video, except for the common approach of blurring of the person, was competitive with raw video, and in particular that the graphical oval privacy enhancement yielded the same accuracy as raw video, namely 0.91 sensitivity and 0.92 specificity.

关键词： Time series analysis Streaming media Privacy Accuracy Shape Sensitivity detection algorithms

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500页 << < 481 482 483 484 485 486 487 488 489 490 > >>

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：