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

8,212 篇 会议
158 篇 期刊文献
36 册 图书

馆藏范围

8,405 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

5,774 篇 工学
- 5,035 篇 计算机科学与技术...
- 3,598 篇 软件工程
- 1,534 篇 光学工程
- 865 篇 信息与通信工程
- 662 篇 电气工程
- 641 篇 控制科学与工程
- 501 篇 机械工程
- 449 篇 生物医学工程（可授...
- 372 篇 电子科学与技术（可...
- 349 篇 生物工程
- 237 篇 仪器科学与技术
- 119 篇 化学工程与技术
- 101 篇 建筑学
- 92 篇 土木工程
- 71 篇 安全科学与工程
- 57 篇 材料科学与工程（可...
- 51 篇 交通运输工程
3,196 篇 理学
- 1,979 篇 物理学
- 1,901 篇 数学
- 578 篇 统计学（可授理学、...
- 408 篇 生物学
- 126 篇 化学
- 57 篇 系统科学
486 篇 管理学
- 327 篇 图书情报与档案管...
- 175 篇 管理科学与工程(可...
- 55 篇 工商管理
424 篇 医学
- 407 篇 临床医学
- 105 篇 基础医学(可授医学...
- 79 篇 药学(可授医学、理...
54 篇 艺术学
- 53 篇 设计学（可授艺术学...
53 篇 农学
45 篇 法学
27 篇 教育学
18 篇 经济学
11 篇 军事学
5 篇 文学

主题

1,328 篇 image processing
1,100 篇 computer vision
894 篇 image segmentati...
663 篇 pattern recognit...
538 篇 image reconstruc...
515 篇 image analysis
501 篇 cameras
452 篇 layout
375 篇 shape
366 篇 computer science
317 篇 feature extracti...
268 篇 face recognition
264 篇 image recognitio...
260 篇 robustness
243 篇 humans
202 篇 pixel
200 篇 image edge detec...
192 篇 object recogniti...
189 篇 object detection
188 篇 pattern recognit...

机构

23 篇 department of co...
20 篇 microsoft resear...
17 篇 center for autom...
16 篇 the robotics ins...
15 篇 national laborat...
15 篇 institute of ima...
15 篇 institute of ima...
15 篇 department of co...
15 篇 institute of com...
14 篇 department of co...
14 篇 tsinghua univers...
14 篇 school of comput...
14 篇 nec research ins...
14 篇 school of comput...
13 篇 robotics institu...
13 篇 institute for ro...
12 篇 computer science...
11 篇 carnegie mellon ...
11 篇 swiss fed inst t...
11 篇 inria sophia-ant...

作者

31 篇 anon
27 篇 huang thomas s.
25 篇 jain anil k.
24 篇 s.k. nayar
22 篇 nayar shree k.
22 篇 haralick robert ...
19 篇 timofte radu
18 篇 shum heung-yeung
18 篇 aggarwal j.k.
17 篇 zhang lei
17 篇 hancock edwin r.
16 篇 van gool luc
15 篇 g. healey
14 篇 davis larry s.
14 篇 rosenfeld azriel
14 篇 t. kanade
14 篇 r. szeliski
14 篇 ahuja narendra
13 篇 k. ikeuchi
13 篇 chellappa rama

语言

8,192 篇 英文
126 篇 其他
87 篇 中文
3 篇 土耳其文
1 篇 西班牙文
1 篇 葡萄牙文

检索条件"任意字段=Proceedings - IEEE Computer Society Conference on Pattern Recognition and Image Processing."

共 8406 条记录，以下是4871-4880 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：

image Feature Based Smoke recognition in Mines Using Monocular Camera Mounted on Aerial Vehicles 2

Image Feature Based Smoke Recognition in Mines Using Monocul...

引用

2nd International conference On Emerging Computation and Information Technologies, ICECIT 2017

作者： Nagaraj, Kushal Sadashiva, Thejas Gubbi Ramani, Sanjeev Kaushik Iyengar, S.S. Computer Science and Engineering Department Siddaganga Institute of Technology India School of Computer and Information Science Florida International University United States

ISBN: (纸本)9781538610947

Fire and smoke are common sight at mines and could be catastrophic for humans working there. Our paper focuses on an alert mechanism that is built based on detection and validation of smoke from mines. We propose a computer vision based model that is robust enough to detect presence of smoke and the direction of motion of smoke. This research paper proposes a smoke detection model integrated with Unmanned Aerial Vehicle (UAV). The model focuses on smoke detection that leads to early detection of fire. The model works on the basis of image processing. The distinguishing feature of our model is the dynamic and real time processing. Here the system tracks the dynamic environment in the mining areas using UAVs featured with cameras. The real time captured video frames are calibrated to overcome distortion considering the radial and tangential factors. The calibrated frame thus obtained is further processed to get the Region of Interest (ROI) based on the spatial Hue Saturation Value (HSV) colouring model. Each pixel of the frame is then compared with colour range of smoke using opencv functions. The matched ROI is de-noised using Non-local means De-nosing algorithm to avoid unnecessary colours. These filtered frames are then processed concurrently to identify the pattern of change in motion. Based on this pattern the ROI is classified as either smoke or no smoke. With the analysis of turbulence in each pixel the intensity of smoke is detected. The experiment is conducted with-1) Prerecorded smoke video clippings. 2) Real time video captured in the camera. The results turned out to be positive in both the test cases. So, the model works quite efficiently with both recorded and real time video. Key Terms: UAV, ROI, HSV, De-noising algorithm, pattern matching. © 2017 ieee.

关键词： Smoke

来源：评论

学校读者我要写书评

暂无评论

INTELLIGENT ROBOTS AND computer VISION.

INTELLIGENT ROBOTS AND COMPUTER VISION.

引用

Intelligent Robots and computer Vision.

ISBN: (纸本)0892525568

The conference proceedings contains 55 papers. Among the areas covered are: recognition for intelligent robots;image processing.for robot vision;artificial intelligence in image understanding;computer vision;robot path planning;tactile and other robotic sensors;3-D representation, modeling amd processing.robotic systems and applications. The topics discussed include: object orientation;vision algorithms;heuristic route planning;pattern classes;robotic location systems;imaging tactile sensors;multiple image flows;and assembly inspection.

关键词： ROBOTICS

来源：评论

学校读者我要写书评

暂无评论

Adaptive foreground extraction for deep fih clasfication 2

Adaptive foreground extraction for deep fih clasfication

引用

2nd Workshop on computer Vision for Analysis of Underwater imagery, CVAUI 2016

作者： Seese, Nicole Myers, Andrew Smith, Kaleb Smith, Anthony O. Computer Science Mersville Universy of Pennsylvania MillersvilePA United States Electrcal and Computer Engineering Florida Insute of Technology MelbourneFL United States

ISBN: (纸本)9781509058709

Despite the recent advances in computer vision and the proliferation of applications for tracking, image classification, and video analysis;very little applied work has been done to improve techniques for underwater video. Object detection and classification for underwater environments is critical in domains like marine biology, where scientist study populations of underwater species. Most applications assume either a static background, or movement that can be accounted for by some constant offset Existing state-of-the-art algorithms perform well under controlled conditions, but when applied to underwater video of an unconstrained real world environment, they suffer a substantial performance degradation. In this work, we implement a system that performs foreground extraction on streaming underwater video for fish classification using a convolutional neural network. Our goal is to accurately detect and classify objects in real-time utilizing graphics processing.unit (GPU) parallel computing capability. GPU accelerated computing is the ideal hardware technology for video analysis that provides a platform for real-time processing. We evaluate our performance on standard benchmark video datasets, specifically for scene complexity, and for detection and classification accuracy. © 2016 ieee.

关键词： Graphics processing.unit

来源：评论

学校读者我要写书评

暂无评论

Key Techniques of Upper Limb Rehabilitation Training System based on Kinect

Key Techniques of Upper Limb Rehabilitation Training System ...

引用

2020 International conference on Virtual Reality and Visualization, ICVRV 2020

作者： Li, Nianfeng Zhou, Shang Xiao, Zhiguo Zhao, Yifei School of Computer Science and Technology Changchun University of Science and Technology Changchun China

ISBN: (纸本)9780738142524

Rehabilitation training for patients with upper limb functional impairment is generally based on rehabilitation machinery equipment and the experience does not meet the needs of users. This paper proposes and designs a rehabilitation training system that can carry out independent training and intelligentassessment. Collected by the sensor system Kinect human motion information, and the key points of the skeleton data processing.based on time series data smoothing algorithm, based on the upper limb motion recognition method of classification algorithm, experiments show that the algorithm is optimized bone data, the system can effectively help patients to perform upper limb rehabilitation training, which has good application value, realizes the guidance of the patient's rehabilitation process through human-computer interaction, realizes the continuous interaction of human and machine and completes the patient's independent rehabilitation training. © 2020 ieee.

关键词： Motion estimation

来源：评论

学校读者我要写书评

暂无评论

Application of "human-in-the-loop" control to a biped walking-chair robot

Application of "human-in-the-loop" control to a biped walkin...

引用

2007 ieee International conference on Systems, Man, and Cybernetics, SMC 2007

作者： Jiaoyan, Tang Qunfei, Zhao Jie, Huang Mechanical Engineering School University of Shanghai Jiao Tong Shanghai 200240 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China College of Computer Science and Engineering University of Aizu Aizu Wakamatsu 965-8580 Japan

ISBN: (纸本)1424409918

This paper presents the research on stability for biped Walking-Chair robot with human-in-the-loop. The inherent properties of the biped system which is developed for the disable people to replace traditional wheelchairs are analyzed. Control of the robot for the gait and navigation is introduced. Posture stability computation method based on ZMP (Zero Moment Point) theory is discussed. Some suggestions about the future research are also presented. © 2007 ieee.

关键词： Robots

来源：评论

学校读者我要写书评

暂无评论

Multi-Scale Transformer with Explicit Boundary Constraint for Semantic Segmentation

Multi-Scale Transformer with Explicit Boundary Constraint fo...

引用

2022 ieee International conference on Multimedia and Expo, ICME 2022

作者： Mi, Baotong Liang, Xun School of Information Department of Computer Science Renmin University of China China Beijing Jushi Intelligent Technology Co. Ltd. China

ISBN: (数字)9781665485630

ISBN: (纸本)9781665485630

Semantic segmentation is a dense pixel-level prediction task, which requires both strong classification and locality ability simultaneously. Previous methods tackle this challenging problem by enlarging receptive field, incorporating contextual cues, fusing multi-level features, etc. Recently, several pure Transformer methods push this forward by its intrinsic characteristics of global relation modeling between any pixels. The receptive field is enlarged to the whole image as while. However, current pure Transformer methods still has shortcomings, such as poor ability for pixel-level locality because of single-scale image patch splitting, the simple upsampling of bilinear interpolation and discrete positional encoding. To this end, we propose a pure multi-scale Transformer architecture with pixel-shuffle upsampling kernel and semantically continuous positional encoding. In addition, current Transformers naturally lack the ability to encode object shape due to the one-dimensional processing. Hence we propose to explicitly enforce the boundary constraints on the decoder. Experimental results demonstrate our method achieves state-of-art results on both Cityscapes and ADE20K datasets. © 2022 ieee.

关键词： Pixels

来源：评论

学校读者我要写书评

暂无评论

Comprehensive Visual Features and Pseudo Labeling for Robust Natural Language-based Vehicle Retrieval

Comprehensive Visual Features and Pseudo Labeling for Robust...

引用

2023 ieee/CVF conference on computer Vision and pattern recognition Workshops, CVPRW 2023

作者： Ngo, Bach Hoang Nguyen, Dat Thanh Do-Tran, Nhat-Tuong Huy Thien, Phuc Pham An, Minh-Hung Nguyen, Tuan-Ngoc Hoang, Loi Nguyen Dinh Nguyen, Vinh Dinh, Quang-Vinh Ai Vietnam Research Viet Nam Fpt Telecom Viet Nam Ho Chi Minh City University of Technology Faculty of Computer Science and Engineering Viet Nam Eastern International University School of Computing and Information Technology Viet Nam

ISBN: (纸本)9798350302493

Vehicle retrieval has become crucial for public transportation and intelligent transportation systems due to the exponential development of large-scale transportation videos. Vehicle re-identification and vehicle tracking are the main components of most vision-based vehicle recovery systems. Unfortunately, the limited amount of information provided by traffic video feeds limits the vision-based vehicle retrieval algorithm's efficacy. Therefore, this article proposes a contrastive cross-modal vehicle retrieval approach to maximize the complementarity of natural language and visual representations. An efficient method to fuse multiple input image features is also proposed to extract comprehensive information from various vehicles along with pseudo labeling and efficient post-processing.techniques to enhance retrieval accuracy. The proposed method achieved the 3rd ranking of Mean Reciprocal Rank (MRR) score of 0.4795 on the test set for the Challenge Track 2: Tracked-Vehicle Retrieval by Natural Language Descriptions 2023. Source code for the proposed approaches is openly accessible at https://***/anminhhung/AICity-2023-Track2. © 2023 ieee.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Fast facial fitting based on mixture appearance model with 3D constraint

Fast facial fitting based on mixture appearance model with 3...

引用

Chinese conference on pattern recognition

作者： Huang, Xiangsheng Gong, Lujin Wang, Xiaoyan Institute of Automation Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing AMSS Beijing 100190 China College of Computer Science and Technology Zhejiang University of Technology Hangzhou 310023 China

ISBN: (纸本)9781424472109

Fast facial points fitting plays an important role in applications such as Human-computer Interaction, entertainment, surveillance, and is highly relevant to the techniques of facial expression analysis, face recognition, 3D face model generation, etc. Active Appearance Models (AAMs) are generative models commonly used to fit face. They are sensitive to illumination and expression changes because they use only raw intensity to build observation models. In this paper, a real time facial points fitting approach using mixture observation models is presented. Furthermore, the 3D modes are used to constrain the AAM so that it can only generate model instances that can also be generated with the 3D modes. Finally, we give a derivative process for fast energy minimization using the inverse compositional algorithm. A coarse-to-fine fitting strategy is used for realtime and robust facial points fitting. We apply this algorithm to facial expression cloning of 3D Avatar system. Experimental results demonstrate that fitting the AAM with mixture observation models and 3D constraint outperforms other classical algorithms. ©2010 ieee.

关键词： Mixtures

来源：评论

学校读者我要写书评

暂无评论

Locality preserving projections based on L1 graph

Locality preserving projections based on L1 graph

引用

Chinese conference on pattern recognition

作者： Liu, Zhonghua Yin, Jun Jin, Zhong School of Computer Science and Technology Nanjing University of Science and Technology Nanjing210094 China Electronic Information Engineering College Henan University of Science and Technology Luoyang 471003 China

ISBN: (纸本)9781424472109

Traditional graph construction methods usually decompose the graph construction process into two steps and have certain parameters which required manual setting. In addition, since changes in pose, illumination and expression would cause large changes in the appearance, this often leads to the fact that neighboring samples don't belong to the same class. However, these faults are overcome by the L1 graph construction method which is different from conventional graph construction method. In L1 graph method, the graph adjacency structure and the graph weights are derived simultaneously in a parameter-free manner. Combined with L1 graph method and locality preserving projection method, the novel method called locality preserving projection based on L1 graph is proposed. Experimental results on face databases demonstrate the effectiveness of our method. ©2010 ieee.

关键词： L1 graph construction face databases graph theory illumination lighting locality preserving projections parameter-free manner pose estimation sparse representation visual databases

来源：评论

学校读者我要写书评

暂无评论

Stemware inspection system

Stemware inspection system

引用

conference on Machine Vision Systems for Inspection and Metrology VIII

作者： Sacha, JP Luster, S Shabestari, BN Miller, JWV Sena, M Edison Industrial Systems Ctr. (United States) Light Works (United States) Univ. of Michigan/Dearborn (United States) Visionex Inc. (United States)

ISBN: (纸本)0819434299

The objective of the system is inspection of individual pieces of stemware for geometry defects and glass imperfections. Cameras view stemware from multiple angles to increase surface coverage. The inspection images are acquired at three stations. The first inspects internal glass quality, detecting defects such as chemical residue and waviness. The second inspects the rim, geometry of the stemware body and stem, and internal defects such as cracks. The third station inspects the stemware base for geometrical and internal defects. Glass defects are optically enhanced through the use of striped pattern back lighting combined with morphological processing. Geometry inspection is enhanced through the use of converging illumination at the second station, while the third station utilizes large field true telecentric imaging. progressive scan cameras and frame grabbers capable of simultaneous image capture are used at each station. The system software comprises six modules: system manager, I/O manager, inspection module for each station, and stemware sorting and logging module. Each module is run as a separate application. Applications communicate with each other through TCP/IP sockets, and can be run in a multi-computer or single-computer setup. Currently two Windows NT workstations are used to host the system.

关键词： machine vision image processing application

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 << < 484 485 486 487 488 489 490 491 492 493 > >>

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：