检索结果-内蒙古大学图书馆

IEEE 26th International conference on Intelligent Transportation Systems (ITSC)

作者： Mehrke, Jannik Volk, Georg Stumpp, Yannik Bringmann, Oliver Terzis, Anestis Ulm Univ Appl Sci Inst Commun Technol Ulm Germany Univ Tubingen Dept Comp Engn Tubingen Germany

ISBN: (纸本)9798350399462

Cloud-based data processing latency mainly depends on the transmission delay of data to the cloud and the used data processing algorithm. To minimize the transmission delay, it is important to compress the transferred data without reducing the quality of the data. When using data compression algorithms, it is important to validate the impact of these algorithms on the detection quality. This work evaluates the effects of image compression and transmission over wireless interfaces on state of the art neural networks. Therefore, a modern image processing platform for next generation automotive processing architectures, as used in software defined vehicles, is introduced. The impacts of different image encoders as well as data transmission parameters are investigated and discussed.

关键词： image compression

来源：评论

学校读者我要写书评

暂无评论

Fire Alert System using Shape and Color Analysis through image processing via Mobile Application 16

Fire Alert System using Shape and Color Analysis through Ima...

引用

16th International conference on Computer and Automation Engineering (ICCAE)

作者： Chua, Divina A. Leandicho, Carla Louie H. Magtibay, Leo Angelo C. Ortiz, Jerome T. Yumang, Analyn N. Julkipli, Omar Mukhtar Y. Mapua Univ Sch Elect Elect & Comp Engn Manila Philippines

ISBN: (纸本)9798350370058;9798350370164

Fire is a common safety problem both in the industry and household environments. This paper presents research on the development and implementation of a fire detection system designed for both industrial and household environments. The proposed system utilizes covariance matrix image processing in conjunction with Shape analysis and color analysis algorithms. The device is capable of detecting fire based on its color, leveraging an enrollment process conducted on our web server. To enhance user accessibility, a mobile phone application has been created to serve as the interface for receiving alarms generated by the device. Additionally, a mobile camera facilitates live video streaming of the monitored area. Upon detecting a fire, the device triggers an alarm to be sent to the user's Android mobile phone. The mobile application not only displays real-time footage but also offers users the option to contact the fire station directly.

关键词： image processing Fire Web Server Android Mobile Application

来源：评论

学校读者我要写书评

暂无评论

Application of Improved HSV Color Model for Early Gingivitis Detection using image processing and Machine Learning 16

Application of Improved HSV Color Model for Early Gingivitis...

引用

16th International conference on Computer and Automation Engineering (ICCAE)

作者： Ebron, Jonalyn G. Adante, John Rieven P. Garcia, Elijah Raphael F. Marasigan, Miguel Cristian G. Tiongco, Patricia Ysobelle A. Mapua Malayan Coll Laguna Coll Comp & Informat Sci Pulo Diezmo Rd Cabuyao City 4025 Laguna Philippines

ISBN: (纸本)9798350370058;9798350370164

Early gingivitis detection is crucial for preventing severe oral health issues. This study pioneers an innovative approach that integrates image processing techniques with machine learning to enhance early detection capabilities. Focusing on the Hue (H) component of the HSV color space, a dataset comprising 417 intraoral images is meticulously curated. These images undergo targeted processing to extract gingivitis features, employing techniques such as HSV color detection and contour extraction. Various machine learning models are tested, with Convolutional Neural Networks (CNN) emerging as the most effective, achieving an accuracy of 81.68 percent. Leveraging these findings, a user-friendly mobile application is developed, seamlessly integrating the CNN model. This app enables individuals to capture gingival images and receive real-time predictions of gingivitis risk, empowering proactive oral health management. While underscoring the importance of professional diagnosis, this technology offers accessible and proactive oral healthcare solutions.

关键词： gingivitis detection image processing machine learning convolutional neural networks modeling

来源：评论

学校读者我要写书评

暂无评论

Generalized self-cueing real-time attention scheduling with intermittent inspection and image resizing

引用

real-time SYSTEMS 2023年第2期59卷 302-343页

作者： Liu, Shengzhong Fu, Xinzhe Hu, Yigong Wigness, Maggie David, Philip Yao, Shuochao Sha, Lui Abdelzaher, Tarek Univ Illinois Champaign IL 61820 USA MIT Cambridge MA USA US DEVCOM Army Res Lab Adelphi NY USA George Mason Univ Fairfax VA USA

This paper proposes a generalized self-cueing real-time attention scheduling framework for DNN-based visual machine perception pipelines on resource-limited embedded platforms. Self-cueing means we identify subframe-level regions of interest in a scene internally by exploiting temporal correlations among successive video frames as opposed to externally via a cueing sensor. One limitation of our original self-cueing-and-inspection strategy (Liu et al. in Proceedings of the 28th IEEE real-time and embedded technology and applications symposium (RTAS), 2022b) lies in its lack of computational efficiency under high workloads, like busy traffic scenarios where a large number of objects are identified and separately inspected. We extend the conference publication by integrating image resizing with intermittent inspection and task batching in attention scheduling. The extension enhances the original algorithm by accelerating the processing of large objects by reducing their resolution at the cost of only a negligible degradation in accuracy, thereby achieving a higher overall object inspection throughput. After extracting partial regions around objects of interest, using an optical flow-based tracking algorithm, we allocate computation resources (i.e. DNN inspection) to them in a criticality-aware manner using a generalized batched proportional balancing algorithm (GBPB), to minimize a concept of generalized system uncertainty. It saves computational resources by inspecting low-priority regions intermittently at low frequencies and inspecting large objects at low resolutions. We implement the system on an NVIDIA Jetson Xavier platform and extensively evaluate its performance using a real-world driving dataset from Waymo. The proposed GBPB algorithm consistently outperforms the previous BPB algorithm that only uses intermittent inspection and a set of baselines. The performance gain of GBPB is larger in facing more significant resource constraints (i.e., lower sampling inte

关键词： real-time scheduling Object detection Temporal correlations Cyber-physical systems

来源：评论

学校读者我要写书评

暂无评论

An Advanced IoT and GPS-GSM Based real-time Automated Data Monitoring Robot with image processing and Live Streaming for Human Life and Land Mine Detection Systems

An Advanced IoT and GPS-GSM Based Real-Time Automated Data M...

引用

2024 International conference on Computer, Electrical and Communication Engineering, ICCECE 2024

作者： Islam, Md. Muhaiminul Akter, Farzana Hossain, Md. Rakib Faruk Hossain, Md. Mahedy Hasan, S.M. Yakin Srizon, Md. Azmain Rajshahi University of Engineering & Technology Department of Electronics & Telecommunication Engineering Rajshahi6204 Bangladesh Department of Electrical & Electronic Engineering Rajshahi6204 Bangladesh Department of Computer Science & Engineering Rajshahi6204 Bangladesh

ISBN: (纸本)9798350386479

An era of automation is currently being experienced, where everything is becoming more automated day by day. Automation technology has been applied everywhere, from smaller to larger scales. Moreover, real-time communication between complicated human-machine interfaces is one of the difficulties of the fourth industrial revolution. That is why robots are essential in this field because they improve human lifestyles, lighten workloads, and carry out several dangerous tasks. This research presents a groundbreaking advancement in the form of an automated real-time IoT-based data monitoring robot in an era characterized by the proliferation of automation and the Internet of Things (IoT). This ground-breaking system combines GPS-GSM functionality, human life detection, land mine detection, image processing, and live streaming in an efficient manner. The robot utilizes its IoT framework and a variety of embedded sensors and technology to gather, process, and transmit realtime data from its surroundings. Notably, it supports disaster response, military operations, and safety measures by performing the vital tasks of detecting human life and land mines. The ability to categorize and process visual data is improved by the image processing feature, and situational awareness is provided by live streaming © 2024 IEEE.

关键词： Global positioning system

来源：评论

学校读者我要写书评

暂无评论

Nonuniformity correction based on the blackbody image space in uncooled long-wave infrared cameras without a shutter

Nonuniformity correction based on the blackbody image space ...

引用

2024 International conference on image, Signal processing, and Pattern Recognition, ISPP 2024

作者： Wu, Zenan Zhang, Chengshuo School of Information Science and Engineering Shenyang University of Technology Liaoning Shenyang110870 China

ISBN: (纸本)9781510680425

Uncooled long-wave infrared detectors suffer from temperature drift and image quality degradation due to the lack of a constant temperature environment. A shutter is commonly used to calibrate the detector periodically, but it causes wear and tear on the lens and detector, and may fail in harsh environments. This article presents a more advanced research method for nonuniformity correction based on the blackbody image space in uncooled long-wave infrared cameras without a shutter. The proposed method integrates based on calibration and based on real time scenario non-uniformity correction techniques in two step: offline calibration stage builds an blackbody image space from blackbody images collected at different ambient temperatures;online identification stage finds the optimal projection of the scene image in blackbody image space using the statistical prior of the sharp real time scenario infrared image. And estimates the optimal blackbody image for non-uniformity correction at the current ambient temperature. It creates a "virtual shutter" in front of the lens that effectively compensates for the temperature drift of the detector characteristics and lens. Comparative experiments show that the proposed method significantly reduces non-uniformity and adapts to the ambient temperature variation. © 2024 SPIE.

关键词： Infrared detectors

来源：评论

学校读者我要写书评

暂无评论

A Comprehensive Survey on INTELLICCTV: An AI based CCTV Camera Surveillance System 5

A Comprehensive Survey on INTELLICCTV: An AI based CCTV Came...

引用

5th International conference on Data Intelligence and Cognitive Informatics, ICDICI 2024

作者： More, Prithvi Joyashi, Mayuresh Rangdale, Sonali Bhalerao, Soham Khandagle, Laxman Sathe, Samruddhi JSPM's Rajarshi Shahu College of Engineering Department Of Information Technology Pune India

ISBN: (纸本)9798350389609

Upon day to day observation as well as crime rates chart analysis we can conclude that crime rates are increasing day by day with increase in population. Criminals are finding multiple ways to accomplish their monetary needs like for e.g Child Trafficking, Kidnapping, Murdering, trading of morphine and content that can damage teenagers and adults severely. Police agencies and crime control organisations are finding multiple ways to stop these things. One of them is by using CCTV camera surveillance and some of its drawbacks are: No alert and notification, no parallel image processing , chances of human error. Also, the traditional CCTV camera surveillance systems often fail to detect crime patterns successfully. So we are contributing by developing AI Based CCTV camera surveillance. This system involves enhancing accurate detection and conclusion of crime and people involved at the spot by using most advanced image processing techniques with the most suitable machine learning classifier. Also one of the advantages is , instead of manual monitoring this system involves automated real time detection and response. We will be using the VGG-16 Neural network for image processing which allows image processing to be done more accurately. The model is currently trained with weapons and action dataset to monitor the crimes in real time more *** database we will be using is MongoDB. © 2024 IEEE.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Text Detection and Character Recognition of Oracle Original Topographies Based on PP-YOLOE+ 2

Text Detection and Character Recognition of Oracle Original ...

引用

2nd IEEE International conference on Sensors, Electronics and Computer Engineering, ICSECE 2024

作者： Li, Xiang Zhang, Mingqi Du, Xiaoman Dalian University of Technology Dalian China

ISBN: (纸本)9798350373646

Oracle is the earliest systematic script found in China, and the research of oracle bone information processing is a hot issue nowadays. In this paper, based on the traditional digital image processing method and PP-YOLOE+ target detection method, the oracle text detection and character recognition model for the oracle original topographies is obtained through training. The innovative application of oracle bone digitization project is studied in depth from the text detection segmentation and text recognition technology of the original oracle bone topography respectively. In this paper, the models obtained after training are evaluated separately and the accuracy and practicality of the models are tested in the public dataset. Among them, the value of the mAP of the detection model is 0.550, and the value of the mAP of the recognition model is 0.923. Finally, this paper develops a real-time detection system for oracle bone characters, which detects the oracle bone characters on the original topographies of oracle bones in real time through the external camera device, and the real-time detection has an average FPS of 35.63, which provides a new technological method to support the further research of oracle bone digitization engineering. © 2024 IEEE.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

FPGA implementation of curve fitting algorithm for image diffusion spectrum 4

FPGA implementation of curve fitting algorithm for image dif...

引用

2024 4th International conference on Measurement Control and Instrumentation, MCAI 2024

作者： Li, Shijie Han, Peng School of Electronics and Information Engineering South China Normal University Guangdong Foshan China

In recent years, the application of image diffusion spectrum algorithm for high-concentration particle systems such as suspensions, coatings, emulsions, gels, etc. in multiple fields such as pharmaceuticals, energy, chemical industry, and food has become more and more extensive. Although the relevant technology has made significant progress at the algorithm level, the real-time and portability issues of the system are still the key factors restricting its application potential. The traditional image diffusion wave system needs to transfer the data to the host computer for processing after the image processing is completed, which has problems such as clock delay and large system volume. To this end, we proposed a fitting algorithm based on the image diffusion spectrum. By directly processing the data obtained in image processing in FPGA, clock delay is avoided and the miniaturization of the instrument is also achieved. Through comparative experiments, we can see that our algorithm can achieve the same processing effect on the host computer. © Published under licence by IOP Publishing Ltd.

关键词： Emulsification

来源：评论

学校读者我要写书评

暂无评论

An image quality evaluation assessment based on natural scene statistics

An image quality evaluation assessment based on natural scen...

引用

2023 International conference on Computer Graphics, Artificial Intelligence, and Data processing, ICCAID 2023

作者： Chen, Xinxin Wang, Huiquan College of Aeronautics and Astronautics Zhejiang University Zhejiang China

ISBN: (纸本)9781510677685

Aiming at the mosaic phenomenon in images, the existing single-feature evaluation indexes of non-referential image quality do not conform to the subjective evaluation of the human eye, and a single-dimensional evaluation standard of edge slope consistency is proposed. For the super-resolution reconstruction image quality evaluation research, the proposed multi-dimensional non-referential image quality evaluation index, can simulate the subjective evaluation of the calculation of image quality real-time scoring, and distinguish between different super-resolution reconstruction algorithm results. Design and analysis of the experimental results, the unidimensional and multi-dimensional image quality evaluation standard proposed in this paper is more in line with the subjective evaluation of the human eye, and at the same time, combined with the database LIVE and QADS compared with the other image evaluation index test, which illustrates the superiority and versatility of the multi-dimensional image quality index. © 2024 SPIE.

关键词： image quality

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：