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Strategies for Helping Anchor-Based Trackers Learn re-ID Features for Smart City Surveillance 帮助基于锚点的跟踪器学习智能城市监控的再识别功能的策略
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444455
Xiu-Zhi Chen, Mu-Chuan Li, Yen-Lin Chen
{"title":"Strategies for Helping Anchor-Based Trackers Learn re-ID Features for Smart City Surveillance","authors":"Xiu-Zhi Chen, Mu-Chuan Li, Yen-Lin Chen","doi":"10.1109/ICCE59016.2024.10444455","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444455","url":null,"abstract":"Re-identification has become a crucial issue in computer vision today as it allows for tracking objects in both continuous and discontinuous scenarios. Despite achieving perfect detection results, anchor-based trackers encountered difficulties in effectively learning re-identification features, due to various issues. This research proposes strategies aimed at improving the capability of anchor-based trackers to learn high-quality re-identification (re-ID) features. The model developed through our strategies can extract more distinct features and achieve almost 0.57 Multiple Object Tracking Accuracy (MOTA) on MOT20, even under a limited training dataset. This result indicates that our proposed strategies hold potential for improving the performance of anchor-based trackers.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"109 9","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531647","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
Ranging and communication combining scheme for FMCW radar FMCW 雷达的测距和通信组合方案
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444167
Hibiki Toda, Haruka Hataki, Kohei Ohno
{"title":"Ranging and communication combining scheme for FMCW radar","authors":"Hibiki Toda, Haruka Hataki, Kohei Ohno","doi":"10.1109/ICCE59016.2024.10444167","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444167","url":null,"abstract":"FMCW (Frequency Moderated Continuous Wave) radar in millimeter wave is an attractive technique to measure distance. It is often used for an inter-vehicle radar to avoid accidents. When data can be modulated to the FMCW radar, it will realize a more robust system because important information can be obtained from the neighbor vehicle, such as velocity, steering wheel direction, brake strength, etc. The dual mode system and OFDM radar have been proposed as the ranging and communication combined systems [1].","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"97 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531819","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
Social Windows for Elderly Nursing Home 养老院的社会之窗
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444399
Toru Kobayashi, Saki Kondo, Seishiro Yamasaki, Daiki Togawa, K. Fukae
{"title":"Social Windows for Elderly Nursing Home","authors":"Toru Kobayashi, Saki Kondo, Seishiro Yamasaki, Daiki Togawa, K. Fukae","doi":"10.1109/ICCE59016.2024.10444399","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444399","url":null,"abstract":"Many elderly nursing homes have become increasingly isolated from society due to infectious diseases such as COVID-19. In addition, nursing care workers are also extremely busy due to the labor shortage. Therefore, we developed Social Windows to solve these problems. Social Windows is configured as digital signage in elderly nursing homes. Residents can communicate asynchronously and synchronously with their outside family members through Social Windows with simple touch operations. In addition, through the same Social Windows, nursing care workers can share information and work status with each other, as well as communicate with outside their managers. In this way, Social Windows is characterized as a common window placed between the elderly nursing home and society. We confirmed the effectiveness of the system through a demonstration experiment at an elderly nursing home in Nagasaki Prefecture.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"77 2","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531901","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
Autonomous Diagnosis System of Breast Cancer 乳腺癌自主诊断系统
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444471
Minjun Son, Woomin Jun, Sungjin Lee
{"title":"Autonomous Diagnosis System of Breast Cancer","authors":"Minjun Son, Woomin Jun, Sungjin Lee","doi":"10.1109/ICCE59016.2024.10444471","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444471","url":null,"abstract":"This paper focuses on a study of medical image techniques using deep learning, specifically addressing methods for diagnosing breast cancer. The research aims to enhance breast cancer classification and localization through image classification and segmentation techniques utilizing mammography, ultrasound, and histopathology images. Among various image classification and segmentation techniques, the study selects technology and loss functions optimized for medical imaging characteristics, along with proposing data augmentation methods. The research findings demonstrate that using filter-based techniques for data augmentation yields excellent performance in image classification using ResNet50. Additionally, for the segmentation of mammography and ultrasound images, the UNet architecture performs exceptionally well. Through the application of these techniques, the segmentation performance of mammography images improved by 33.3%, ultrasound image segmentation improved by 29.9%, and histopathology image classification accuracy increased by 22.8%. This research presents a contribution to deep learning-based medical image processing in the context of breast cancer diagnosis.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"74 10","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531917","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
Determinants of Intelligent Logistics of iBox in Taiwan: A Case Study Utilizing the ACSI Model 台湾 iBox 智能物流的决定因素：利用 ACSI 模型的案例研究
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444303
Chun-Ting You, Liang-Bi Chen, S. Kuo
{"title":"Determinants of Intelligent Logistics of iBox in Taiwan: A Case Study Utilizing the ACSI Model","authors":"Chun-Ting You, Liang-Bi Chen, S. Kuo","doi":"10.1109/ICCE59016.2024.10444303","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444303","url":null,"abstract":"The progress of economic development is closely related to intelligent logistics. Therefore, the new intelligent logistics mailing service in Taiwan, named iBox, can achieve breakthroughs in automation, unmanned delivery, and operations all year. This study uses the American Customer Satisfaction Index (ACSI) model to understand consumers’ willingness to use iBox and improve the usage rate. The results show that consumers are willing to use the iBox service again and have a good use experience with iBox.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"69 5","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531962","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
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