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

4,604 篇 会议
499 册 图书
65 篇 期刊文献

馆藏范围

5,167 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

3,375 篇 工学
- 2,739 篇 计算机科学与技术...
- 1,816 篇 软件工程
- 723 篇 信息与通信工程
- 720 篇 光学工程
- 662 篇 电气工程
- 415 篇 生物工程
- 359 篇 控制科学与工程
- 348 篇 生物医学工程（可授...
- 234 篇 机械工程
- 223 篇 电子科学与技术（可...
- 125 篇 仪器科学与技术
- 122 篇 化学工程与技术
- 116 篇 安全科学与工程
- 95 篇 交通运输工程
- 90 篇 材料科学与工程（可...
- 67 篇 建筑学
- 57 篇 土木工程
1,679 篇 理学
- 925 篇 物理学
- 721 篇 数学
- 452 篇 生物学
- 203 篇 统计学（可授理学、...
- 119 篇 化学
- 57 篇 系统科学
488 篇 管理学
- 268 篇 图书情报与档案管...
- 240 篇 管理科学与工程(可...
- 78 篇 工商管理
439 篇 医学
- 418 篇 临床医学
- 127 篇 基础医学(可授医学...
- 89 篇 药学(可授医学、理...
60 篇 法学
- 59 篇 社会学
54 篇 农学
35 篇 教育学
31 篇 艺术学
29 篇 经济学
11 篇 文学
10 篇 军事学

主题

816 篇 computer vision
624 篇 pattern recognit...
534 篇 image processing
355 篇 image processing...
347 篇 artificial intel...
336 篇 image segmentati...
276 篇 feature extracti...
203 篇 image recognitio...
174 篇 deep learning
155 篇 computer graphic...
150 篇 computer imaging...
139 篇 face recognition
124 篇 machine learning
122 篇 object recogniti...
120 篇 convolutional ne...
115 篇 image analysis
113 篇 object detection
108 篇 information syst...
105 篇 cameras
105 篇 shape

机构

25 篇 istituto italian...
24 篇 google deepmind ...
24 篇 meta ai barcelon...
23 篇 politecnico di t...
14 篇 national center ...
14 篇 institute of ima...
10 篇 shanghai jiao to...
10 篇 tsinghua univers...
10 篇 university of ch...
10 篇 institute of aut...
9 篇 institute of ima...
9 篇 computer vision ...
8 篇 indian statistic...
8 篇 inria nancy gran...
8 篇 dalian universit...
8 篇 icube université...
8 篇 erasmus mc - uni...
8 篇 tencent jarvis l...
8 篇 university of ba...
7 篇 department of co...

作者

24 篇 cristian canton
24 篇 alessio del bue
24 篇 tatiana tommasi
24 篇 jordi pont-tuset
17 篇 de-shuang huang
14 篇 stefanie speidel
12 篇 wilfried philips
9 篇 paul scheunders
9 篇 h. bischof
9 篇 jie yang
9 篇 stéphane cotin
9 篇 dan popescu
9 篇 mohamed kamel
8 篇 umapada pal
8 篇 aurélio campilho
8 篇 yefeng zheng
8 篇 kok wai wong
8 篇 christian barill...
8 篇 ilias maglogiann...
8 篇 tieniu tan

语言

4,851 篇 英文
296 篇 其他
65 篇 中文

检索条件"任意字段=4th International Conference on Computer Vision, Pattern Recognition and Image Processing"

共 5168 条记录，以下是741-750 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：

vision-based Assessment of Instructional Content on Golf Performance 22

Vision-based Assessment of Instructional Content on Golf Per...

引用

4th international conference on image processing and Machine vision, IPMV 2022

作者： Krishna, Akshay Smith, Patrick Nicolescu, Mircea Hayes, Steven C Department Of Computer Science University Of Nevada United States Department Of Psychology University Of Nevada United States

ISBN: (纸本)9781450395823

this paper focuses on the detection and tracking of a golf ball from video input, as a part of a study aiming to evaluate the influence of instructional content delivered through Acceptance and Commitment Training (ACT) on sports performance. As part of this experiment, the participants were putting on a small green region, and they recorded themselves performing the swing. Using our generated dataset, we propose an automated solution that involves only vision processing to detect and track the golf ball, and to estimate metrics such as velocity, shot angle, and whether the golf ball made the hole. We use color detection, background subtraction, contour detection, homography transformations, and other techniques to detect and track the golf ball. Our approach was extensively tested on a large dataset with annotations, with good results. © 2022 ACM.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

A Fire Detection System Based on YOLOv4 8th

A Fire Detection System Based on YOLOv4

引用

8th international conference on Artificial Intelligence and Security , ICAIS 2022

作者： Fei, Chenhe Qian, Hanwei Department of Computer Information and Cyber Security Jiangsu Police Institute Nanjing210031 China

ISBN: (纸本)9783031067600

Fire is a common disaster which frequently causes serious losses. If it can be found in time in the early stage, the loss can be greatly reduced. Traditional computer vision algorithm segments fire areas via binary processing whose disadvantage lies in its the slow speed and low accuracy, failing to meet the requirement of real-time detection of fire areas. With the development of neural networks, deep learning has been applied in the field of computer vision widely. In this paper, we investigate the recognition algorithm for fire images in YOLOv4 environment based on CSPDarknet-53 framework. Firstly, collected images are pre-processed to get the dataset conforming to the specification image production. then the server is used to train the model to realize recognition, detection and early warnings of fires. At the same time, the system will be further completed to change the current situation of fire image recognition and real-time detection, and improve working efficiency. © 2022, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Intelligent Concrete Surface Cracks Detection using computer vision, pattern recognition, and Artificial Neural Networks 4

Intelligent Concrete Surface Cracks Detection using Computer...

引用

4th international conference on Industry 4.0 and Smart Manufacturing, ISM 2022

作者： Mirbod, Majid Shoar, Maryam Department of Industrial Management Tehran North Branch Islamic Azad University Tehran Iran

this paper presents an intelligent concrete surface crack detection model, using machine vision, pattern recognition, artificial neural networks, and histogram of oriented gradients to feature extraction. this is an applied research category that so far, has been used in face recognition systems, and scaled conjugate gradient to training purpose multilayer neural networks, to achieve the monitoring of concrete surfaces to increase the protection that these are the innovations of this research. the main purpose of this research is to provide a reliable method for inspecting sensitive structures such as bridges using a continuous intelligent inspection system consisting of a camera and intelligent software. For this purpose, we used the Utah State University image dataset that contains over 56,000 images of cracked and non-cracked concrete bridge decks, walls, and pavements. Moreover, it includes data on cracks as narrow as 0.06 mm and a width of 25 mm with a variety of obstructions, shadows, surface roughness, scaling, edges, holes, and background debris. the ANN proposed in this study can recognize cracking images from non-cracking images. the efficiency of this network is 84.88% and it reduces network error from 0.631 to 0.199 and gradient index from 25.5 to 0.0801. this model will be useful for structural health monitoring and other sensitive surfaces such as aircraft engine shells and train moving rails. Based on the obtained results, the difference between the proposed method and other neural networks such as Convolutional Neural networks is that the former is simpler in coding and needs cheaper hardware. © 2022 Elsevier B.V.. All rights reserved.

关键词： Multilayer neural networks

来源：评论

学校读者我要写书评

暂无评论

Sign Language recognition Using Long Short-Term Memory Deep Learning Model 4th

Sign Language Recognition Using Long Short-Term Memory Deep ...

引用

4th international conference on image processing and Capsule Networks, ICIPCN 2023

作者： Mali, Prabhat Shakya, Aman Panday, Sanjeeb Prasad Department of Electronics and Computer Engineering Pulchowk Campus Institute of Engineering Tribhuvan University Bagmati Lalitpur Nepal

ISBN: (纸本)9789819970926

this paper aims to present an easy way of communication for speech impaired and hearing impaired people. this paper focuses on the use of neural network techniques, specifically MediaPipe Holistic and the Long Short-Term Memory (LSTM) module, to recognize sign language for individuals with disabilities. the utilization of MediaPipe Holistic, which integrates pose, hand, and face keypoints with precise levels, was used due to its low latency and high tracking accuracy in real-world scenarios. this paper deals with commonly used words of American Standard Sign Language. the result obtained shows that the proposed model can detect American Standard Sign Language with accuracy of 98.50 percentage. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

Low-quality image binarization method based on threshold array system

Low-quality image binarization method based on threshold arr...

引用

computer vision, image and Deep Learning (CVIDL), international conference on

作者： Xinguo Mei Dazhong Mu Peng Cao Beijing Key Laboratory of Signal and Information Processing for High-end Printing Equipment Beijing Institution of Graphic Communication Beijing China

In order to improve the anti-noise performance of traditional image binarization methods, this paper proposes a novel binarization method for low-quality images based on threshold array system. the proposed method involves converting the image signal into a one-dimensional time sequence signal via Hilbert scanning, followed by normalization of the time sequence signal. the normalized signal is then input to the threshold array system for stochastic resonance processing. the output signal from the threshold array system undergoes demodulation and reverse scanning to generate the final binary image. Experimental results demonstrate that this approach outperforms traditional binarization methods such as Niblack, Otsu, and Sauvola under condition of strong noise interference.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Contactless Height Measurement for Infants and Toddlers Based on computer vision

Contactless Height Measurement for Infants and Toddlers Base...

引用

Consumer Electronics and computer Engineering (ICCECE), 2021 IEEE international conference on

作者： Liang Qiao Siyu Liu Jiapeng Li Kejie Zhang Yang Wang Haoyang Li Chunyan Liu Changchun College of Electronic Technology Changchun China

Height is one of the important indicators to evaluate the growth and healthy development of infants and young children, at present, the height measurement of infants and young children at home and abroad is still generally used in the soft ruler or horizontal measuring bed, etc., this traditional measurement method is not only inefficient, but also has a variety of drawbacks. To this end, the system takes the neural network Open Pose as the core, combines image processing, C# and HBuilder, and designs and implements a set of non-contact infant height measurement system based on computer vision technology, which can quickly and accurately measure the height of infants and young children, and has the advantages of non-contact, health and safetyIt can provide parents and doctors with reliable data on the growth and development of infants and young children.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Research on Optimization of Edge Detection Algorithm Based on Binocular Camera

Research on Optimization of Edge Detection Algorithm Based o...

引用

Intelligent Communications and Computing (ICC), international conference on

作者： Xiaoxu Zhang Sen Wang Guotao Cong Weiwei Zou College of Intelligent and Electronic Engineering Dalian Neusoft University of Information Dalian China

ISBN: (数字)9798331530365

ISBN: (纸本)9798331530372

Edge detection is one of the core technologies in digital image processing and computer vision, and has been widely applied in fields such as image recognition and remote sensing image processing. this article proposes an optimization scheme for edge detection algorithm, which collects image information through binocular cameras and caches it in memory. After grayscale transformation preprocessing, the classic SOBEL algorithm and optimized SOBEL algorithm are used to extract edge information, obtain binary images, and display them on the LCD screen in real time. through practical testing, the optimized algorithm can effectively solve the problem of detecting edges that are too coarse in the original algorithm, and improve the accuracy of detection and positioning. this system can be widely applied in fields such as medical imaging and autonomous driving.

关键词： image edge detection Gray-scale Cameras Real-time systems Liquid crystal displays Optimization Field programmable gate arrays Remote sensing Biomedical imaging Testing

来源：评论

学校读者我要写书评

暂无评论

Design and Research of Intelligent Jet Fire Extinguishing System Based on STM32 and image recognition Technology

Design and Research of Intelligent Jet Fire Extinguishing Sy...

引用

Data Science and computer Application (ICDSCA), IEEE international conference on

作者： Xianzhe Ma Yixin Hu Muyang Shao Dalian University of Technology Dalian China

ISBN: (数字)9798350368239

ISBN: (纸本)9798350368246

At present, the most widely used large-space automatic jet fire extinguishing system-LRB-automatic fire water cannon) is easily disturbed by sunlight in outdoor environment, resulting in accidental spray or unable to find the fire source. To address these issues, the proposed system integrates ultraviolet (UV) sensors and image recognition technology to accurately detect and extinguish flames, both indoors and outdoors, at a lower cost. the system is divided into multiple modules, including image processing, main control, mobile robot base, and power management. the camera filters visible light interference using a narrow-band filter, while the UV sensor detects open flames, enabling accurate tracking. the water cannon is mounted on a mobile robot, which can autonomously adjust its position to enhance fire-fighting efficiency. the paper highlights the modular design, allowing for easy upgrades without affecting other components. Additionally, the system can be expanded to include automatic patrol capabilities and remote monitoring for broader fire coverage in large spaces.

关键词： Mechanical sensors image sensors image recognition Costs Filters Robot vision systems Fires Sensor systems Mobile robots Remote monitoring

来源：评论

学校读者我要写书评

暂无评论

Exploring Self-Supervised Learning Architectures for image processing: Milestones and Challenges

Exploring Self-Supervised Learning Architectures for Image P...

引用

international conference on ICT in Business Industry & Government (ICTBIG)

作者： Naived George Eapen Jossy George CHRIST (Deemed to be University) India

ISBN: (数字)9798331518981

ISBN: (纸本)9798331518998

Self-Supervised Learning (SSL) is a deep learning paradigm, having the capacity to learn from unlabeled datasets. SSL has demonstrated effectiveness in various applications of computer vision and image processing. the study examines milestone advancements in SSL methodologies applied to image processing, with particular attention to datasets, pretext tasks and different architectures that have been implemented to perform representation learning from unlabeled data. the persistent challenges in SSL are also discussed. Newer models, such as DINOv2 and iBOT, along with hybrid approaches has offered improvements in feature extraction and task adaptability. As per the current trends, the domain of SSL has the potential to revolutionize image processing, by enabling more efficient and accurate training of model without extensive labeled data.

关键词： Representation learning Deep learning Adaptation models Visualization computer vision image processing Computational modeling Supervised learning Self-supervised learning computer architecture

来源：评论

学校读者我要写书评

暂无评论

4th international conference on Artificial Intelligence in China, AIC 2022

4th International Conference on Artificial Intelligence in C...

引用

4th international conference on Artificial Intelligence in China, AIC 2022

ISBN: (纸本)9789819912551

the proceedings contain 49 papers. the special focus in this conference is on Artificial Intelligence in China. the topics include: Research on Helmet Detection Algorithm Based on Improved YOLOv5s;label Embedding Based Scoring Method for Secondary School Essays;Research on Wheat Ears Detection Method Based on Improved YOLOv5;Aircraft Target Detection Algorithm Based on Improved YOLOv5s;a Survey in Virtual image Generation Based on Generative Adversarial Networks;research on the Service for the Disabled in Interior Design and Product Design Based on Artificial Intelligence;application and Prospect of Artificial Intelligence image Analysis Technology in Natural Resources Survey;application and Technical Analysis of computer vision Technology in Natural Resource Survey;research on Natural Language processing Technology in Construction Project Management;review of Generative Adversarial Networks in Object Detection;a Review of the Application of Convolutional Neural Networks in Object Detection;optimal Deployment of Large-Scale Wireless Sensor Network Based on Topological Potential Adaptive Graph Clustering;INSL: Text2SQL Generation Based on Inverse Normalized Schema Linking;the Research on Prediction for Financial Distress in Car Company Listed Combining Financial Indicators and Text Data;frame Interpolation for Weather Radar Data;a Hybrid Neural Network for Music Generation Using Frequency Domain Data;Prediction Model for Inclusive Finance Development Considering the Impact of COVID-19: the Case of China;certifiable Optimal Visual Pose Estimation for Space Applications;Automotive Manufacturing Revenue Prediction Using Financial and Comment Sentiment Data Based on CNN Model;exploring the Application of SketchUp and Twinmotion in Building Design Planning;Deep Learning-Enhanced ICA Algorithm for Sub-Gaussian Blind Source Separation.

关键词：

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 << < 71 72 73 74 75 76 77 78 79 80 > >>

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：