{"title":"利用图像处理技术进行建筑物火灾探测","authors":"Jareerat Seebamrungsat, Suphachai Praising, Panomkhawn Riyamongkol","doi":"10.1109/ICT-ISPC.2014.6923226","DOIUrl":null,"url":null,"abstract":"To reduce loss of life and property from fire, an early warning is an imperative. A fire detection system based on light detection and analysis is proposed in the paper. This system uses HSV and YCbCr color models with given conditions to separate orange, yellow, and high brightness light from background and ambient light. Fire growth is analysed and calculated based on frame differences. The overall accuracy from the experiments has been greater than 90%.","PeriodicalId":300460,"journal":{"name":"2014 Third ICT International Student Project Conference (ICT-ISPC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"50","resultStr":"{\"title\":\"Fire detection in the buildings using image processing\",\"authors\":\"Jareerat Seebamrungsat, Suphachai Praising, Panomkhawn Riyamongkol\",\"doi\":\"10.1109/ICT-ISPC.2014.6923226\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To reduce loss of life and property from fire, an early warning is an imperative. A fire detection system based on light detection and analysis is proposed in the paper. This system uses HSV and YCbCr color models with given conditions to separate orange, yellow, and high brightness light from background and ambient light. Fire growth is analysed and calculated based on frame differences. The overall accuracy from the experiments has been greater than 90%.\",\"PeriodicalId\":300460,\"journal\":{\"name\":\"2014 Third ICT International Student Project Conference (ICT-ISPC)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"50\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Third ICT International Student Project Conference (ICT-ISPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICT-ISPC.2014.6923226\",\"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 Third ICT International Student Project Conference (ICT-ISPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICT-ISPC.2014.6923226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fire detection in the buildings using image processing
To reduce loss of life and property from fire, an early warning is an imperative. A fire detection system based on light detection and analysis is proposed in the paper. This system uses HSV and YCbCr color models with given conditions to separate orange, yellow, and high brightness light from background and ambient light. Fire growth is analysed and calculated based on frame differences. The overall accuracy from the experiments has been greater than 90%.
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