{"title":"一种增强的光自适应动态背景重建算法","authors":"Shuan Liu, N. Hao","doi":"10.1109/ICICIP.2010.5564251","DOIUrl":null,"url":null,"abstract":"Slow change in light intensity will record on the image. The selection timing on sequence image samples and the method that how to reconstruct the background have very important impacts on the accuracy of dynamic background reconstruction. As more complexity of urban road junction traffic information, the existing background reconstruction algorithms have some shortcomings. We present a dynamic background reconstruction algorithm on enhanced light adaptability. It effectively reduces background reconstruction errors caused by the slow change of light intensity. Experimental results show the algorithm is simple, real strong, and reliable, have strong practical value.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An enhanced light adaptability algorithm on dynamic background reconstruction\",\"authors\":\"Shuan Liu, N. Hao\",\"doi\":\"10.1109/ICICIP.2010.5564251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Slow change in light intensity will record on the image. The selection timing on sequence image samples and the method that how to reconstruct the background have very important impacts on the accuracy of dynamic background reconstruction. As more complexity of urban road junction traffic information, the existing background reconstruction algorithms have some shortcomings. We present a dynamic background reconstruction algorithm on enhanced light adaptability. It effectively reduces background reconstruction errors caused by the slow change of light intensity. Experimental results show the algorithm is simple, real strong, and reliable, have strong practical value.\",\"PeriodicalId\":152024,\"journal\":{\"name\":\"2010 International Conference on Intelligent Control and Information Processing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Intelligent Control and Information Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICIP.2010.5564251\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Intelligent Control and Information Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIP.2010.5564251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An enhanced light adaptability algorithm on dynamic background reconstruction
Slow change in light intensity will record on the image. The selection timing on sequence image samples and the method that how to reconstruct the background have very important impacts on the accuracy of dynamic background reconstruction. As more complexity of urban road junction traffic information, the existing background reconstruction algorithms have some shortcomings. We present a dynamic background reconstruction algorithm on enhanced light adaptability. It effectively reduces background reconstruction errors caused by the slow change of light intensity. Experimental results show the algorithm is simple, real strong, and reliable, have strong practical value.