{"title":"利用空间和视频数据推测森林火灾","authors":"D. Tl, Vijayalakshmi Mn, A. S","doi":"10.1109/ICATIECE45860.2019.9063781","DOIUrl":null,"url":null,"abstract":"Forest fire is a natural calamity which causes immense loss to the ecology. The high severity fire causes most loss to the vegetation. So this fire has to be detected within forest region in order to save vegetation. Currently frameworks are available with the image processing system which does analysis over the static forest fire image which provides information of fire hot spots. The fire motion/movement analysis with forest zone analysis is a challenging task with such static images. This problem can be solved with continuous monitoring of the fire with videos. Hence proposed framework provides novel forest fire flame movement analysis system based on spatiotemporal features using videos.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Speculation of Forest Fire Using Spatial and Video Data\",\"authors\":\"D. Tl, Vijayalakshmi Mn, A. S\",\"doi\":\"10.1109/ICATIECE45860.2019.9063781\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Forest fire is a natural calamity which causes immense loss to the ecology. The high severity fire causes most loss to the vegetation. So this fire has to be detected within forest region in order to save vegetation. Currently frameworks are available with the image processing system which does analysis over the static forest fire image which provides information of fire hot spots. The fire motion/movement analysis with forest zone analysis is a challenging task with such static images. This problem can be solved with continuous monitoring of the fire with videos. Hence proposed framework provides novel forest fire flame movement analysis system based on spatiotemporal features using videos.\",\"PeriodicalId\":106496,\"journal\":{\"name\":\"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICATIECE45860.2019.9063781\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICATIECE45860.2019.9063781","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Speculation of Forest Fire Using Spatial and Video Data
Forest fire is a natural calamity which causes immense loss to the ecology. The high severity fire causes most loss to the vegetation. So this fire has to be detected within forest region in order to save vegetation. Currently frameworks are available with the image processing system which does analysis over the static forest fire image which provides information of fire hot spots. The fire motion/movement analysis with forest zone analysis is a challenging task with such static images. This problem can be solved with continuous monitoring of the fire with videos. Hence proposed framework provides novel forest fire flame movement analysis system based on spatiotemporal features using videos.