Slamet Riyadi, Cahya Damarjati, Hesti Media Tama, Siti Noraini Sulaiman
{"title":"用质心位置分析测量人群中人的距离","authors":"Slamet Riyadi, Cahya Damarjati, Hesti Media Tama, Siti Noraini Sulaiman","doi":"10.1109/ICCSCE58721.2023.10237127","DOIUrl":null,"url":null,"abstract":"The COVID-19 pandemic is ongoing and has spread widely worldwide, including in Indonesia. The government has taken preventive measures, one of which is by maintaining a distance between people (physical distancing). The distance between people recommended by the WHO (World Health organization) to prevent the transmission of COVID-19 is 2 meters. Prevention of the spread of COVID-19 through physical distancing has encouraged the innovation of several researchers to create a distance detection system between people. In some studies, each object detected as a person is given an object point (centroid), which is a reference for measuring distances between objects. The centroid is usually positioned in the center of the object’s body, but the accuracy is low. This makes the author want to change the position of the centroid in the middle of the body to be under the feet of the object and perform analysis. Changes in the position of the centroid on the object greatly affect the results of distance detection between people. Distance calculation using the centroid under the object’s feet is more accurate than using the centroid in the object’s center. The result of distance detection accuracy with the centroid in the center of the object’s body is 56.60%. In comparison, the accuracy of distance detection with the centroid under the object’s feet is 66.98%.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Centroid Position to Measure the Distance of People in the Crowd\",\"authors\":\"Slamet Riyadi, Cahya Damarjati, Hesti Media Tama, Siti Noraini Sulaiman\",\"doi\":\"10.1109/ICCSCE58721.2023.10237127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The COVID-19 pandemic is ongoing and has spread widely worldwide, including in Indonesia. The government has taken preventive measures, one of which is by maintaining a distance between people (physical distancing). The distance between people recommended by the WHO (World Health organization) to prevent the transmission of COVID-19 is 2 meters. Prevention of the spread of COVID-19 through physical distancing has encouraged the innovation of several researchers to create a distance detection system between people. In some studies, each object detected as a person is given an object point (centroid), which is a reference for measuring distances between objects. The centroid is usually positioned in the center of the object’s body, but the accuracy is low. This makes the author want to change the position of the centroid in the middle of the body to be under the feet of the object and perform analysis. Changes in the position of the centroid on the object greatly affect the results of distance detection between people. Distance calculation using the centroid under the object’s feet is more accurate than using the centroid in the object’s center. The result of distance detection accuracy with the centroid in the center of the object’s body is 56.60%. In comparison, the accuracy of distance detection with the centroid under the object’s feet is 66.98%.\",\"PeriodicalId\":287947,\"journal\":{\"name\":\"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)\",\"volume\":\"150 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSCE58721.2023.10237127\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSCE58721.2023.10237127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Centroid Position to Measure the Distance of People in the Crowd
The COVID-19 pandemic is ongoing and has spread widely worldwide, including in Indonesia. The government has taken preventive measures, one of which is by maintaining a distance between people (physical distancing). The distance between people recommended by the WHO (World Health organization) to prevent the transmission of COVID-19 is 2 meters. Prevention of the spread of COVID-19 through physical distancing has encouraged the innovation of several researchers to create a distance detection system between people. In some studies, each object detected as a person is given an object point (centroid), which is a reference for measuring distances between objects. The centroid is usually positioned in the center of the object’s body, but the accuracy is low. This makes the author want to change the position of the centroid in the middle of the body to be under the feet of the object and perform analysis. Changes in the position of the centroid on the object greatly affect the results of distance detection between people. Distance calculation using the centroid under the object’s feet is more accurate than using the centroid in the object’s center. The result of distance detection accuracy with the centroid in the center of the object’s body is 56.60%. In comparison, the accuracy of distance detection with the centroid under the object’s feet is 66.98%.