检索结果-内蒙古大学图书馆

Style Optimization Networks for real-time semantic segmentation of rainy and foggy weather

SIGNAL PROCESSING-IMAGE COMMUNICATION 2025年 130卷

作者： Huang, Yifang He, Haitao He, Hongdou Zhao, Guyu Shi, Peng Fu, Pengpeng Yanshan Univ Qinhuangdao 066004 Hebei Peoples R China

Semantic segmentation is an essential task in the field of computer vision. Existing semantic segmentation models can achieve good results under good weather and lighting conditions. However, when the external environment changes, the effectiveness of these models are seriously affected. Therefore, we focus on the task of semantic segmentation in rainy and foggy weather. Fog is a common phenomenon in rainy weather conditions and has a negative impact on image visibility. Besides, to make the algorithm satisfy the application requirements of mobile devices, the computational cost and the real-time requirement of the model have become one of the major points of our research. In this paper, we propose a novel Style Optimization Network (SONet) architecture, containing a Style Optimization Module (SOM) that can dynamically learn style information, and a Key information Extraction Module (KEM) that extracts important spatial and contextual information. This can improve the learning ability and robustness of the model for rainy and foggy conditions. Meanwhile, we achieve real-time performance by using lightweight modules and a backbone network with low computational complexity. To validate the effectiveness of our SONet, we synthesized CityScapes dataset for rainy and foggy weather and evaluated the accuracy and complexity of our model. Our model achieves a segmentation accuracy of 75.29% MIoU and 83.62% MPA on a NVIDIA TITAN Xp GPU. Several comparative experiments have shown that our SONet can achieve good performance in semantic segmentation tasks under rainy and foggy weather, and due to the lightweight design of the model we have a good advantage in both accuracy and model complexity.

关键词： Rainy and foggy weather Semantic segmentation real-time algorithm

来源：评论

学校读者我要写书评

暂无评论

A real-time conflict solution algorithm for the train rescheduling problem

引用

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL 2017年 106卷 237-265页

作者： Bettinelli, Andrea Santini, Alberto Vigo, Daniele Optit Srl Viale Amendola 56-D I-40026 Imola BO Italy Univ Pompeu Fabra Dept Econ & Empresa Trias Fargas 25 Barcelona 08005 Spain Barcelona GSE Trias Fargas 25 Barcelona 08005 Spain Univ Bologna DEI Viale Risorgimento 2 I-40136 Bologna Italy

We consider the real-time resolution of conflicts arising in real-world train management applications. In particular, given a nominal timetable for a set of trains and a set of modifications due to delays or other resources unavailability, we are aiming at defining a set of actions which must be implemented to grant safety, e.g., to avoid potential conflicts such as train collisions or headway violations, and restore quality by reducing the delays. To be compatible with real-time management, the required actions must be determined in a few seconds, hence specialized fast heuristics must be used. We propose a fast and effective parallel algorithm that is based on an iterated greedy scheduling of trains on a time-space network. The algorithm uses several sortings to define the initial train dispatching rule and different shaking methods between iterations. The performance is further enhanced by using various sparsification methods for the time space network. The best algorithm configuration is determined through extensive experiments, conducted on a set of instances derived from real-world networks and instances from the literature. The resulting heuristic proved able to consistently resolve the existing conflicts and obtaining excellent solution quality within just two seconds of computing time on a standard personal computer, for instances involving up to 151 trains and two hours of planning time horizon. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Railway optimization Train rescheduling real-time algorithm Heuristic

来源：评论

学校读者我要写书评

暂无评论

Implementation of a real-time Brain-to-Brain Synchrony Estimation algorithm for Neuroeducation Applications

引用

SENSORS 2024年第6期24卷 1776页

作者： Mendoza-Armenta, Axel A. Blanco-Tellez, Paula Garcia-Alcantar, Adaliz G. Ceballos-Gonzalez, Ivet Hernandez-Mustieles, Maria A. Ramirez-Mendoza, Ricardo A. Lozoya-Santos, Jorge de J. Ramirez-Moreno, Mauricio A. Tecnol Monterrey Sch Engn & Sci Mechatron Dept Monterrey 64700 Mexico

This study centers on creating a real-time algorithm to estimate brain-to-brain synchronization during social interactions, specifically in collaborative and competitive scenarios. This type of algorithm can provide useful information in the educational context, for instance, during teacher-student or student-student interactions. Positioned within the context of neuroeducation and hyperscanning, this research addresses the need for biomarkers as metrics for feedback, a missing element in current teaching methods. Implementing the bispectrum technique with multiprocessing functions in Python, the algorithm effectively processes electroencephalography signals and estimates brain-to-brain synchronization between pairs of subjects during (competitive and collaborative) activities that imply specific cognitive processes. Noteworthy differences, such as higher bispectrum values in collaborative tasks compared to competitive ones, emerge with reliability, showing a total of 33.75% of significant results validated through a statistical test. While acknowledging progress, this study identifies areas of opportunity, including embedded operations, wider testing, and improved result visualization. Beyond academia, the algorithm's utility extends to classrooms, industries, and any setting involving human interactions. Moreover, the presented algorithm is shared openly, to facilitate implementations by other researchers, and is easily adjustable to other electroencephalography devices. This research not only bridges a technological gap but also contributes insights into the importance of interactions in educational contexts.

关键词： EEG bispectrum brain-to-brain synchronization real-time algorithm physiological signals Python

来源：评论

学校读者我要写书评

暂无评论

Cross-step detection using center-of-pressure based algorithm for real-time applications

引用

JOURNAL OF NEUROENGINEERING AND REHABILITATION 2024年第1期21卷 161页

作者： Zadravec, Matjaz Matjacic, Zlatko Univ Rehabil Inst Republ Slovenia Linhartova 51 SI-1000 Ljubljana Slovenia

BackgroundGait event detection is crucial for assessment, evaluation and provision of biofeedback during rehabilitation of walking. Existing online gait event detection algorithms mostly rely on add-on sensors, limiting their practicality. Instrumented treadmills offer a promising alternative by utilizing the Center of Pressure (CoP) signal for real-time gait event detection. However, current methods have limitations, particularly in detecting cross-step events during perturbed walking *** present and validate a CoP-based algorithm to detect gait events and cross-steps in real-time, which combines thresholding and logic techniques. The algorithm was evaluated on CoP datasets from healthy participants (age range 21-61 years), stroke survivors (age range 20-67 years), and people with unilateral transtibial amputation (age range 28-63 years) that underwent perturbation-based balance assessments, encompassing different walking speeds. Detected gait events from a simulated real-time processing operation were compared to offline identified counterparts in order to present related temporal absolute mean errors (AME) and success *** proposed algorithm demonstrated high accuracy in detecting gait events during native gait, as well as cross-step events during perturbed walking conditions. It successfully recognized the majority of cross-steps, with a detection success rate of 94%. However, some misclassifications or missed events occurred, mainly due to the complexity of cross-step events. AME for heel strikes (HS) during native gait and cross-step events averaged at 78 ms and 64 ms respectively, while toe off (TO) AME were 126 ms and 111 ms respectively. A statistically significant difference in the algorithm's success rate score in detecting gait events during cross-step intervals was observed across various walking speeds in a sample of 12 healthy participants, while there was no significant difference among *** proposed algori

关键词： Gait event detection Center of pressure Cross-step real-time algorithm Treadmill walking Balance assessment Instrumented treadmill Perturbation-based balance training Biofeedback

来源：评论

学校读者我要写书评

暂无评论

Object distance estimation algorithm for real-time FPGA-based stereoscopic vision system 8

Object distance estimation algorithm for real-time FPGA-base...

引用

Conference on High-Performance Computing in Geoscience and Remote Sensing VIII

作者： Strotov, Valery V. Smirnov, Sergey A. Korepanov, Simon E. Cherpalkin, Alexey V. Ryazan State Radio Engn Univ 59-1 Gagarin St Ryazan 390005 Russia

ISBN: (数字)9781510621688

ISBN: (纸本)9781510621688

This paper describes the complex object distance measuring algorithm for the stereoscopic real-time onboard vision system. This complex algorithm includes two correlation-based algorithms with the different performance complexity and accuracy. The most accurate basic algorithm is a two-dimensional template matching procedure. The other basic algorithm is one-dimensional matching algorithm that used cumulative images as an input. The switching between the algorithms is based on the proposed algorithm performance indicator. This indicator is based on the mean object and background brightness comparison. The experimental research was performed using a set of artificial and natural video sequences. The proposed complex estimation algorithm showed good accuracy in all case studies. The real-time performance of the algorithm in FPGA-based vision system was demonstrated.

关键词： FPGA on-board vision system stereoscopic vision object tracking distance estimation performance indicator real-time algorithm

来源：评论

学校读者我要写书评

暂无评论

real-time Detection and Recognition algorithm for Hyperspectral Small Targets on Ocean

Real-time Detection and Recognition Algorithm for Hyperspect...

引用

Conference on Optical Sensing and Imaging Technologies and Applications / International Symposium on Optoelectronic Technology and Application (OTA) / Annual Conference of the Chinese-Society-for-Optical-Engineering (CSOE)

作者： Chen Jiaxin Zhang Geng Hu Bingliang Chinese Acad Sci Xian Inst Opt & Precis Mech 17 Informat Ave High Tech Zone Xian Shaanxi Peoples R China Univ Chinese Acad Sci Beijing Peoples R China

ISBN: (纸本)9781510623354

Small anomaly detection in ocean evironment is an important problem in airborne remote sensing image processing, especially in hyperspectral data. Traditional algorithms solve this problem by finding the pixels have different appearance pattern with the background. However, these algorithm are not suitable for real-time applications. In this paper, we propose to learn the hyperspectral model of the seawater and localize the targets whose spectral feature do not well fit the trained model. This algorithm only uses historical information and is suitable to be used on airborne line-scanning data. Since hyperspectral property of ocean water is relatively stable, we use Gaussian mixture model to encode the statistical features of the background. Experimental results demonstrated that the proposed algorithm significantly improves processing efficiency in comparison with conventional methods, and maintains high accuracy with regard to other methods.

关键词： Hyperspectral Target Detection real-time algorithm Gaussian Mixture Model

来源：评论

学校读者我要写书评

暂无评论

A real-time Target Detection algorithm Based on Combination of Intensity and Edge for Infrared Search System 9

A Real-time Target Detection Algorithm Based on Combination ...

引用

9th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Automatic Target Recognition and Navigation

作者： Wang Weihua Liu Songlin Wan Ming He Yan Chen Zengping NUDT ATR Lab Elect Sci & Engine Coll Changsha 410073 Hunan Peoples R China Hengyang North Photoelect Informat Technol Co LTD Hengyang 421000 Peoples R China

ISBN: (纸本)9781510600539

With regard to aircraft target detection in complex clouds background of infrared search system, this paper proposes a new target detection algorithm based on combination of intensity and edge of the target. Firstly, the algorithm segments the image by iterative OTSU segmentation method, at the same time, it detects the edge by morphological processing. Then, by the fusion decision of the combination of segmentation and edge result, it detects the real aircraft targets and eliminates the clouds false alarm. The algorithm overcomes the too much clouds false alarm problems of the traditional target detection method. The test data detection shows, the algorithm enables effective detection of aircraft target in complex clouds background with low-rate false warning. The algorithm has realized real-time processing and has been effectively applied to the development of the engineering sample of the Wide Field of View Infrared Search System.

关键词： infrared search system target detection clouds background real-time algorithm IRST

来源：评论

学校读者我要写书评

暂无评论

A real-time Target Detection and False Alarm Decreasing algorithm for Wide Field of View Infrared Surveillance System

A Real-time Target Detection and False Alarm Decreasing Algo...

引用

8th Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Automatic Target Recognition and Navigation

作者： Wang Weihua Sun Gang He Yan Chen Zengping NUDT Elect Sci & Engine Coll ATR Lab Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9780819498038

With regard to target detection in complex background in high resolution image sequences attained by Wide Field of View Infrared Surveillance System, a rough-to-meticulous real-time target detection algorithm is proposed. In the rough detection phase, it attains initial high rate target detection by background matching and frame difference algorithm, based on the gray high frequency and moving characteristics of the target in the wide field of view image. In the meticulous recognition phase, focusing on the detected suspected target sliced images, it has further delicate recognition on the basis of targets' characteristics to exclude those false jamming. The detection result of the test images shows, the algorithm enables stable detection with low-rate false alarm for distant dim targets, and has been applied to the signal processing of the Wide Field of View Infrared Surveillance System.

关键词： IIS dim target target detection real-time algorithm

来源：评论

学校读者我要写书评

暂无评论

A Triple-Microphone real-time Speech Enhancement algorithm Based on Approximate Array Analytical Solutions

A Triple-Microphone Real-Time Speech Enhancement Algorithm B...

引用

13th Annual Conference of the International-Speech-Communication-Association

作者： Ritch, Ryan Yu, Meng Xin, Jack Univ Calif Irvine Dept Math Irvine CA 92697 USA

ISBN: (纸本)9781622767595

A novel triple microphone array speech enhancement algorithm is developed based on closed form solutions to an approximate algebraic system of equations on noise directivity and speech spectral energy. The system is derived from the ensemble averaged spectral energy equations of a first order differential microphone array. For sufficiently small microphone spacing, closed form analytical solutions are derived using suitable approximations for the normal speech frequency range. The resulting algorithm is simple to implement and efficient for real time noise reduction in a reverberant environment. The algorithm's limitation, the case of spatially almost overlapping sources, is analyzed mathematically, leading to an effective alternative solution utilizing array rotation. The algorithm is evaluated and compared with well-established beamforming algorithms. Results indicate robust gains in objective measures of speech relative to the baseline algorithms in the presence of multiple/mobile noise sources.

关键词： triple-microphone array spectrum estimation noise directivity closed form solutions real-time algorithm

来源：评论

学校读者我要写书评

暂无评论

A real-time Target Detection algorithm for Panorama Infrared Search and Track System

A Real-time Target Detection Algorithm for Panorama Infrared...

引用

International Workshop on Information and Electronics Engineering (IWIEE) / International Conference on Information, Computing and Telecommunications (ICICT)

作者： Wang Weihua Li Zhijun Liu Jing He Yan Chen Zengping NUDT Elect Sci & Engine Inst ATR Lab Changsha 410073 Hunan Peoples R China

With regard to target detection in high resolution panorama images attained by circumferential scan Infrared Search and Tracking system, a rough-to-meticulous real-time target detection algorithm is proposed based on analysis of characteristics of targets and background. In the rough detection phase, it attains initial high rate target detection by quick real-time algorithm, based on the gray high frequency and movement characteristics of the target in the whole panorama image. In the meticulous detection phase, focusing on the detected suspected target sliced images, it has further delicate detection and recognition on the basis of targets' characteristics to exclude those false jamming. The detection result of the test images shows, the algorithm enables stable detection with low-rate false alarm for distant dim small targets, and has been applied to the development of engineering sample of the Panorama Infrared Search and Tracking system. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Harbin University of Science and Technology

关键词： PIRST dim small target target detection real-time algorithm

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：