International Conference on Image Processing and Intelligent Control最新文献

A neural network model for adversarial defense based on deep learning 基于深度学习的对抗防御神经网络模型

International Conference on Image Processing and Intelligent Control Pub Date : 2023-08-09 DOI: 10.1117/12.3000789

Zhiying Wang, Yong Wang

{"title":"A neural network model for adversarial defense based on deep learning","authors":"Zhiying Wang, Yong Wang","doi":"10.1117/12.3000789","DOIUrl":"https://doi.org/10.1117/12.3000789","url":null,"abstract":"Deep learning has achieved great success in many fields, such as image classification and target detection. Adding small disturbance which is hard to be detected by the human eyes to original images can make the neural network output error results with high confidence. An image after adding small disturbance is an adversarial example. The existence of adversarial examples brings a huge security problem to deep learning. In order to effectively defend against adversarial examples attacks, an adversarial example defense method based on image reconstruction is proposed by analyzing the existing adversarial examples attack methods and defense methods. Our data set is based on ImageNet 1k data set, and some filtering and expansion are carried out. Four attack modes, FGSM, BIM, DeepFool and C&W are selected to test the defense method. Based on the EDSR network, multi-scale feature fusion module and subspace attention module are added. By capturing the global correlation information of the image, the disturbance can be removed, while the image texture details can be better preserved, and the defense performance can be improved. The experimental results show that the proposed method has good defense effect.","PeriodicalId":210802,"journal":{"name":"International Conference on Image Processing and Intelligent Control","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126726056","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

Research on optical detection technology for underwater archaeology 水下考古光学探测技术研究

International Conference on Image Processing and Intelligent Control Pub Date : 2023-08-09 DOI: 10.1117/12.3002208

Wei Mu, Ruohan Zheng, Wenrui Zhang

引用次数: 0

Video description method with fusion of instance-aware temporal features 融合实例感知时间特征的视频描述方法

International Conference on Image Processing and Intelligent Control Pub Date : 2023-08-09 DOI: 10.1117/12.3000765

Ju Huang, He Yan, Lingkun Liu, Yuhan Liu

引用次数: 0

Oilfield water injection surface monitoring system 油田注水地面监测系统

International Conference on Image Processing and Intelligent Control Pub Date : 2023-08-09 DOI: 10.1117/12.3000768

Shuchen Xing, Nan Song, Xuhui Wen

引用次数: 0

Research on the improved apple classification method of AlexNet 改进的AlexNet苹果分类方法研究

International Conference on Image Processing and Intelligent Control Pub Date : 2023-08-09 DOI: 10.1117/12.3000778

Huifang Yang, Weihua Wang, Zhicheng Mao

引用次数: 0

Improved PSO-GA-based LSSVM flight conflict detection model 改进的基于pso - ga的LSSVM飞行冲突检测模型

International Conference on Image Processing and Intelligent Control Pub Date : 2023-08-09 DOI: 10.1117/12.3000794

Qiting Liu, Qi Wang, Yulin Cao, Jinyue Wang

{"title":"Improved PSO-GA-based LSSVM flight conflict detection model","authors":"Qiting Liu, Qi Wang, Yulin Cao, Jinyue Wang","doi":"10.1117/12.3000794","DOIUrl":"https://doi.org/10.1117/12.3000794","url":null,"abstract":"With the rapid development of civil aviation industry, the air traffic flow is increasing, which brings a large load to air traffic control, airports and other units, the safety of flight activities has become a research hotspot, flight conflict detection is a necessary link to ensure the safety of flight activities, the increase in air traffic flow requires its more accurate, efficient and stable operation. Based on the least squares support vector machine (LSSVM) in machine learning, this study uses the information provided by ADS-B, such as heading, position and altitude, combined with the regulations and conflict protection zones in actual operation, to classify the occurrence and severity of flight conflicts under the same moment, i.e., to perform multiple classifications, and uses a hybrid optimization algorithm of genetic + particle swarm to optimize this support vector machine model, and proposes A very efficient and accurate real-time flight conflict detection model is proposed. Finally, simulation analysis shows that the support vector machine is faster and more accurate than the traditional SVM, and has excellent conflict detection capability, and by differentiating the classified conflict levels and performing supervised learning, it can provide accurate warnings for upcoming flight conflicts, which can draw early attention of ATCs and provide a basis for the next flight conflict resolution. Eventually, the conflict detection model is expected to be compatible to airborne and ground surveillance equipment, which can significantly improve the safety of flight activities and has a broad application prospect and important research value.","PeriodicalId":210802,"journal":{"name":"International Conference on Image Processing and Intelligent Control","volume":"314 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115936956","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

3D target detection based on dynamic occlusion processing 基于动态遮挡处理的三维目标检测

International Conference on Image Processing and Intelligent Control Pub Date : 2023-08-09 DOI: 10.1117/12.3000786

Jishen Peng, Jun Ma, Li Li

{"title":"3D target detection based on dynamic occlusion processing","authors":"Jishen Peng, Jun Ma, Li Li","doi":"10.1117/12.3000786","DOIUrl":"https://doi.org/10.1117/12.3000786","url":null,"abstract":"In order to solve the multi-vehicle mutual occlusion problem encountered in 3D target detection by self-driving vehicles, this paper proposes a monocular 3D detection method that includes dynamic occlusion determination. The method adds a dynamic occlusion processing module to the CenterNet3D network framework to improve the accuracy of 3D target detection of occluded vehicles in the road. Specifically, the occlusion determination module of the method uses the 2D detection results extracted from target detection as the occlusion relationship determination condition, wherein the method of changing the occlusion determination threshold with the depth value is introduced. Then the occlusion compensation module is used to compensate and adjust the 3D detection results of the occurring occluded vehicles, and finally the 3D target detection results are output. The experimental results show that the method improves the accuracy of both vehicle center point detection and 3D dimensional detection results in the case of long-distance continuous vehicle occlusion. And compared with other existing methods, the accuracy of 3D detection results and bird's-eye view detection results are improved by 1%-2.64% in the case of intersection over union of 0.5. The method can compensate for the occluded vehicles in 3D target detection and improve the accuracy","PeriodicalId":210802,"journal":{"name":"International Conference on Image Processing and Intelligent Control","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114918538","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

Research and application of 3D simulation of truck formation based on Unreal Engine 基于虚幻引擎的卡车编队三维仿真研究与应用

International Conference on Image Processing and Intelligent Control Pub Date : 2023-08-09 DOI: 10.1117/12.3001392

Zhenzhou Wang, Fang Wu, Jiangnan Zhang, Jianguang Wu

引用次数: 0

Evaluation of design factors of an interactive interface of intangible cultural heritage APP based on user experience 基于用户体验的非物质文化遗产APP交互界面设计因素评价

International Conference on Image Processing and Intelligent Control Pub Date : 2023-08-09 DOI: 10.1117/12.3000771

Chengjun Zhou, Ruowei Li

{"title":"Evaluation of design factors of an interactive interface of intangible cultural heritage APP based on user experience","authors":"Chengjun Zhou, Ruowei Li","doi":"10.1117/12.3000771","DOIUrl":"https://doi.org/10.1117/12.3000771","url":null,"abstract":"In this paper, the non-cultural material heritage mobile terminal APP interface is the carrier, according to the user experience of the interactive interface design. By using user interview, observation, qualitative research and quantitative research, and based on the theoretical model of user experience, the author conducted data collection and analysis using user interview and questionnaire survey to obtain four evaluation indexes and eight sub-criteria for users' interaction interface of intangible cultural heritage apps. The analytic hierarchy process was introduced into weight calculation. The weight of each evaluation factor is obtained through investigation and calculation, and the evaluation level of each element is determined by referring to the Likert scale. The evaluation data of the design scheme is obtained through the questionnaire method, the fuzzy analysis is carried out on the results of the questionnaire, and the final evaluation results are obtained according to the principle of full membership to provide implementable improvement suggestions for the interactive interface design to improve the user experience. The research results have theoretical guiding significance for the interactive interface design of intangible cultural heritage apps.","PeriodicalId":210802,"journal":{"name":"International Conference on Image Processing and Intelligent Control","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114128327","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

Application of Videolog visualization technology in workover operation 视频可视化技术在修井作业中的应用

International Conference on Image Processing and Intelligent Control Pub Date : 2023-08-09 DOI: 10.1117/12.3001436

Ying Zhang, Jiatian Zhang, Wenhao Jin

引用次数: 0