{"title":"一种快速时域中值滤波器及其在视频监控背景估计中的应用","authors":"Thanh-Sach Le, T. Luu","doi":"10.1109/SOCPAR.2013.7054097","DOIUrl":null,"url":null,"abstract":"Median filter is well-known for researchers in many fields. In image and video processing, it can be used for filtering noises, for estimating background images, and so on. Its effectiveness is undoubtful. However, median filter is time-consuming. This paper presents a new method for computing median filter's response. The proposed method is O(1) and better than existing methods analytically and experimentally. The experimental results with background estimation problem consolidate the finding in this paper.","PeriodicalId":315126,"journal":{"name":"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A fast temporal median filter and its applications for background estimation in video surveillance\",\"authors\":\"Thanh-Sach Le, T. Luu\",\"doi\":\"10.1109/SOCPAR.2013.7054097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Median filter is well-known for researchers in many fields. In image and video processing, it can be used for filtering noises, for estimating background images, and so on. Its effectiveness is undoubtful. However, median filter is time-consuming. This paper presents a new method for computing median filter's response. The proposed method is O(1) and better than existing methods analytically and experimentally. The experimental results with background estimation problem consolidate the finding in this paper.\",\"PeriodicalId\":315126,\"journal\":{\"name\":\"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOCPAR.2013.7054097\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCPAR.2013.7054097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fast temporal median filter and its applications for background estimation in video surveillance
Median filter is well-known for researchers in many fields. In image and video processing, it can be used for filtering noises, for estimating background images, and so on. Its effectiveness is undoubtful. However, median filter is time-consuming. This paper presents a new method for computing median filter's response. The proposed method is O(1) and better than existing methods analytically and experimentally. The experimental results with background estimation problem consolidate the finding in this paper.