Hyuckjin Choi, Tomokazu Matsui, Manato Fujimoto, K. Yasumoto
{"title":"同时人群计数和定位的WiFi CSI","authors":"Hyuckjin Choi, Tomokazu Matsui, Manato Fujimoto, K. Yasumoto","doi":"10.1145/3427796.3430000","DOIUrl":null,"url":null,"abstract":"Crowd estimation is considered as an attractive technique for indoor energy saving, route guidance, etc. Generally, crowd estimation consists of crowd density estimation and crowd counting. In vision-based approach of crowd estimation, there are several researches addressing both crowd counting and localization. However, most of sensor or radio-based approaches are focusing on crowd counting only. In this study, we assess the potential of simultaneous crowd counting and localization by using WiFi CSI and machine learning.","PeriodicalId":335477,"journal":{"name":"Proceedings of the 22nd International Conference on Distributed Computing and Networking","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Simultaneous Crowd Counting and Localization by WiFi CSI\",\"authors\":\"Hyuckjin Choi, Tomokazu Matsui, Manato Fujimoto, K. Yasumoto\",\"doi\":\"10.1145/3427796.3430000\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Crowd estimation is considered as an attractive technique for indoor energy saving, route guidance, etc. Generally, crowd estimation consists of crowd density estimation and crowd counting. In vision-based approach of crowd estimation, there are several researches addressing both crowd counting and localization. However, most of sensor or radio-based approaches are focusing on crowd counting only. In this study, we assess the potential of simultaneous crowd counting and localization by using WiFi CSI and machine learning.\",\"PeriodicalId\":335477,\"journal\":{\"name\":\"Proceedings of the 22nd International Conference on Distributed Computing and Networking\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 22nd International Conference on Distributed Computing and Networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3427796.3430000\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 22nd International Conference on Distributed Computing and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3427796.3430000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simultaneous Crowd Counting and Localization by WiFi CSI
Crowd estimation is considered as an attractive technique for indoor energy saving, route guidance, etc. Generally, crowd estimation consists of crowd density estimation and crowd counting. In vision-based approach of crowd estimation, there are several researches addressing both crowd counting and localization. However, most of sensor or radio-based approaches are focusing on crowd counting only. In this study, we assess the potential of simultaneous crowd counting and localization by using WiFi CSI and machine learning.