2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)最新文献_第6页

Current Status and Development Trend of Crowd Counting 人群统计的现状与发展趋势

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482237

Jiaming Niu, Yu Yang, Tong Yue

{"title":"Current Status and Development Trend of Crowd Counting","authors":"Jiaming Niu, Yu Yang, Tong Yue","doi":"10.1109/IMCEC51613.2021.9482237","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482237","url":null,"abstract":"As a challenging task, crowd counting has attracted the attention of researchers due to its wide application in the fields of smart video surveillance, smart city construction, and public safety. But at the same time, the impact of many factors, including occlusion, scale changes, and perspective distortion, on task accuracy is still a problem that needs to be solved urgently. On the basis of combing and summarizing the relevant literature, the mainstream population counting methods are reviewed to lay the foundation for more in-depth research in the future. Firstly, it analyzes the research background, current situation and development trend of crowd counting method as a whole. Secondly, the traditional counting method is summarized with the three angles of detection, regression and density estimation as the starting point. Then, it focuses on the crowd counting method based on CNN. Once again, a brief introduction to commonly used counting data sets is given, and Ground Truth generation methods and mainstream evaluation indicators are explained. Finally, based on a series of analyses, the main characteristics and development prospects of population counting are summarized.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125353485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Verification Code Recognition Based on Convolutional Neural Network 基于卷积神经网络的验证码识别

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482170

Q. Tian, Qishun Song, Hongbo Wang, Zhihong Hu, Siyu Zhu

引用次数: 1

Action recognition based on R2.5D-GRU networks 基于R2.5D-GRU网络的动作识别

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482115

Xiaolin Ma, Yuying Xiao

引用次数: 0

AMO-Net: abdominal multi-organ segmentation in MRI with a extend Unet AMO-Net:腹部多器官分割的MRI扩展Unet

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482216

Chao Jia, Jianjing Wei

{"title":"AMO-Net: abdominal multi-organ segmentation in MRI with a extend Unet","authors":"Chao Jia, Jianjing Wei","doi":"10.1109/IMCEC51613.2021.9482216","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482216","url":null,"abstract":"Abdominal organ-related diseases have become one of the main diseases that affect people’s healthy life. MRI is a clinical diagnosis method for abdominal-related diseases. Through MRI, doctors can have a more intuitive observation of the tissue lesions in the human abdomen to make more detailed observations. Accurate diagnosis, therefore, accurate image segmentation of MRI images has very important clinical value. Traditional segmentation methods are relatively inefficient for organ segmentation with large abdominal deformation, small volume and blurry tissue edges. In this paper, we propose a AMO-Net to overcome these limitations. First, we extend the single encoder-decoder architecture to 2 layers to learn richer feature representations. Second, the feature pyramid structure is introduced into the proposed network, which can effectively handle multi-scale changes, is friendly to small target object recognition, and can be associated with remote feature information. Finally, a module called Hierarchical-Split Block is introduced to improve CNN performance. We evaluate our model on the CHAOS challenge dataset, and the final experiment proves that our model achieves better segmentation performance compared with other state-of-the-art segmentation networks.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120914853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Research on correction and recognition of QR code on cylinder 圆柱上QR码的校正与识别研究

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482176

Jing Jin, Keyi Wang, Wei Wang

{"title":"Research on correction and recognition of QR code on cylinder","authors":"Jing Jin, Keyi Wang, Wei Wang","doi":"10.1109/IMCEC51613.2021.9482176","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482176","url":null,"abstract":"In the actual application, the QR code was affected by the collection conditions, environment and surface of substrate, which would cause a series of defects such as noise pollution, local highlight and geometric distortion. These defects would lead to the reduction of recognition rate. The research of preprocessing, area detection, extraction and correction processing for these defects was based on the principle of image processing. Methods were proposed to optimize the QR code and improve the recognition rate. According to the basic principles of digital image processing, the processing technology of QR code was analyzed. The algorithm of threshold segmentation, the molecular block Otsu method was used to deal with the uneven illumination. Based on the special structural features of the position detection pattern, the QR code was detected and extracted from the image. The method of anti-perspective transformation was used to correct the QR code with geometric distortion. The QR code printed on the surface was fitted to surface area, and the corrected graphic was obtained. Then grayscale was interpolated into the corresponding coordinates to get the corrected QR code. The jagged and virtual dots in the image were eliminated by the morphological close operation. The results showed that the Otsu method that combined with the principle of threshold segmentation was applied to process the QR code with uneven lighting and low brightness.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121247712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Design of Hybrid Learning Mode in Higher Vocational Colleges Based on Cloud Platform 基于云平台的高职混合学习模式设计

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482335

Shuai Zhang, Jinlong Wang, Decai Wang

{"title":"Design of Hybrid Learning Mode in Higher Vocational Colleges Based on Cloud Platform","authors":"Shuai Zhang, Jinlong Wang, Decai Wang","doi":"10.1109/IMCEC51613.2021.9482335","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482335","url":null,"abstract":"The rapid development of information technology and its in-depth application in various industries have brought about tremendous changes in people's life and learning methods. Students often arrange time before class to log in to the cloud class platform, and participate in discussions and interactions through learning micro-class videos, animations, courseware, documents, websites and other teaching resources provided by teachers to complete the learning tasks required by the learning task list. This study uses the social statistics software package SPSS22.0 to analyze the questionnaire. The validity analysis uses the principal component analysis method and the maximum variation method orthogonal rotation for confirmatory factor analysis, and forced extraction of four factors. Data shows that 53.1% of learners believe that online learning based on cloud platforms can improved learning Efficiency. The hybrid learning model based on the cloud platform can solve the time wasting problem in traditional classrooms and meet the needs of students' autonomous learning.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"16 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116231938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Semi-supervised Semantic Segmentation Network based on Knowledge Distillation 基于知识蒸馏的半监督语义分割网络

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482145

Weizhe Wang

引用次数: 2

Research on Personalized Recommendation Method Based on Multi-source Information Learning 基于多源信息学习的个性化推荐方法研究

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482016

Keqing Guan, Xianli Kong

引用次数: 0

An Adaptive Threshold Estimation for Coarse Synchronization in Transponding Satellite Communication System 卫星转发器通信系统粗同步的自适应阈值估计

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482231

Lei Chen, Chengyao Tang, Kecheng Zhang, Jingyuan Li, Weihua Mou

{"title":"An Adaptive Threshold Estimation for Coarse Synchronization in Transponding Satellite Communication System","authors":"Lei Chen, Chengyao Tang, Kecheng Zhang, Jingyuan Li, Weihua Mou","doi":"10.1109/IMCEC51613.2021.9482231","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482231","url":null,"abstract":"In transponding satellite communication (TSC) system, coarse synchronization is the key for the ground station to receive and process inbound signals, which directly affects the sensitivity of signal receiving and detection probability. The power and Doppler effect of the transmitted signal vary from terminals to terminals due to differences in positions, dynamic scenes, antenna status as well as terminal types. Furthermore, the satellite motion is variable, especially the high dynamic LEO(Low Earth Orbit) satellite communication systems in the future, whose satellite antenna beam direction changes rapidly. All these problems bring challenges to the coarse synchronization of ground station in transponding satellite communication system. At present, the ground station coarse synchronization mostly adopts the fixed threshold estimation and CFAR threshold estimation, which are not suitable for the future LEO satellite communication systems. In this paper, an adaptive threshold estimation method for inbounding signals coarse synchronization, which neither changes the framework of transponding satellite communication system nor requires additional resources, is proposed to obtain more stable acquisition sensitivity and increase the detection probability in the dynamic scene. Also, the theoretical analysis and simulations results are presented to verify this method.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121706902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Semantic Segmentation Based on Deeplabv3+ and Attention Mechanism 基于Deeplabv3+和注意机制的语义分割

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482207

Rongrong Liu, Dongzhi He

引用次数: 3