{"title":"一种新的室内监控背景减法方法","authors":"Ganfeng Qiang, Lijun Yue, Fengqi Yu","doi":"10.1109/ICIST.2014.6920583","DOIUrl":null,"url":null,"abstract":"In this paper, a novel method of background subtraction and update is proposed for indoor surveillance. It is based on the hypothesis that the foreground pixel's luminance and chroma fluctuate due to the movement of object. Different from the previous algorithms, this method takes each pixel's time continuity in video sequence into consideration. It still works well even the background is visible for a short time. The experimental results show that the proposed method has good performance for indoor scenes.","PeriodicalId":306383,"journal":{"name":"2014 4th IEEE International Conference on Information Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A novel method of background subtraction for indoor surveillance\",\"authors\":\"Ganfeng Qiang, Lijun Yue, Fengqi Yu\",\"doi\":\"10.1109/ICIST.2014.6920583\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a novel method of background subtraction and update is proposed for indoor surveillance. It is based on the hypothesis that the foreground pixel's luminance and chroma fluctuate due to the movement of object. Different from the previous algorithms, this method takes each pixel's time continuity in video sequence into consideration. It still works well even the background is visible for a short time. The experimental results show that the proposed method has good performance for indoor scenes.\",\"PeriodicalId\":306383,\"journal\":{\"name\":\"2014 4th IEEE International Conference on Information Science and Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 4th IEEE International Conference on Information Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIST.2014.6920583\",\"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 4th IEEE International Conference on Information Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIST.2014.6920583","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel method of background subtraction for indoor surveillance
In this paper, a novel method of background subtraction and update is proposed for indoor surveillance. It is based on the hypothesis that the foreground pixel's luminance and chroma fluctuate due to the movement of object. Different from the previous algorithms, this method takes each pixel's time continuity in video sequence into consideration. It still works well even the background is visible for a short time. The experimental results show that the proposed method has good performance for indoor scenes.
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