{"title":"使用三维激光扫描仪的人员计数系统的开发","authors":"Shun Akamatsu, Naohiro Shimaji, T. Tomizawa","doi":"10.1109/ROBIO.2014.7090627","DOIUrl":null,"url":null,"abstract":"The purpose of the present study is to develop a person counting system using a 3D laser scanner. The system consists of a person-detection component, a tracking component, and a counting component. The person-detection component detects human bodies as a point cloud, even if a number of people are close to each other. To achieve this, we use a method of grouping the point cloud towards the bottom from the top. The tracking component tracks the detected person using a Kalman filter. The counting component counts the number of people who enter and exit a structure. Experimental results obtained in the present study reveal that the proposed system can recognize individual pedestrians and count the number of people passing through crowded outdoor environments.","PeriodicalId":289829,"journal":{"name":"2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Development of a person counting system using a 3D laser scanner\",\"authors\":\"Shun Akamatsu, Naohiro Shimaji, T. Tomizawa\",\"doi\":\"10.1109/ROBIO.2014.7090627\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of the present study is to develop a person counting system using a 3D laser scanner. The system consists of a person-detection component, a tracking component, and a counting component. The person-detection component detects human bodies as a point cloud, even if a number of people are close to each other. To achieve this, we use a method of grouping the point cloud towards the bottom from the top. The tracking component tracks the detected person using a Kalman filter. The counting component counts the number of people who enter and exit a structure. Experimental results obtained in the present study reveal that the proposed system can recognize individual pedestrians and count the number of people passing through crowded outdoor environments.\",\"PeriodicalId\":289829,\"journal\":{\"name\":\"2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBIO.2014.7090627\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2014.7090627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of a person counting system using a 3D laser scanner
The purpose of the present study is to develop a person counting system using a 3D laser scanner. The system consists of a person-detection component, a tracking component, and a counting component. The person-detection component detects human bodies as a point cloud, even if a number of people are close to each other. To achieve this, we use a method of grouping the point cloud towards the bottom from the top. The tracking component tracks the detected person using a Kalman filter. The counting component counts the number of people who enter and exit a structure. Experimental results obtained in the present study reveal that the proposed system can recognize individual pedestrians and count the number of people passing through crowded outdoor environments.
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