{"title":"基于视觉的公交客流估计方法","authors":"Haibin Yu, Zhiwei He, Jilin Liu","doi":"10.1109/ISPACS.2007.4445972","DOIUrl":null,"url":null,"abstract":"In this paper, we describe a procedure using image processing for real-time estimation of passenger crowd flow in a complicated background in a bus. The contour feature of the head is exploited to locate every passenger's position. In order to obtain the contour feature accurately, the modification of the Hough Transform and the fuzzy measure are applied. The procedure has been implemented in a DSP-based embedded system for field tests and the results show that the procedure mentioned here is effective.","PeriodicalId":220276,"journal":{"name":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"A vision-based method to estimate passenger flow in bus\",\"authors\":\"Haibin Yu, Zhiwei He, Jilin Liu\",\"doi\":\"10.1109/ISPACS.2007.4445972\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we describe a procedure using image processing for real-time estimation of passenger crowd flow in a complicated background in a bus. The contour feature of the head is exploited to locate every passenger's position. In order to obtain the contour feature accurately, the modification of the Hough Transform and the fuzzy measure are applied. The procedure has been implemented in a DSP-based embedded system for field tests and the results show that the procedure mentioned here is effective.\",\"PeriodicalId\":220276,\"journal\":{\"name\":\"2007 International Symposium on Intelligent Signal Processing and Communication Systems\",\"volume\":\"120 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Symposium on Intelligent Signal Processing and Communication Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPACS.2007.4445972\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2007.4445972","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A vision-based method to estimate passenger flow in bus
In this paper, we describe a procedure using image processing for real-time estimation of passenger crowd flow in a complicated background in a bus. The contour feature of the head is exploited to locate every passenger's position. In order to obtain the contour feature accurately, the modification of the Hough Transform and the fuzzy measure are applied. The procedure has been implemented in a DSP-based embedded system for field tests and the results show that the procedure mentioned here is effective.