{"title":"Improved Three-Frame-Difference Algorithm for Infrared Moving Target","authors":"X. Luo, Ke-bin Jia, Pengyu Liu, Daoquan Xiong, Xiuchen Tian","doi":"10.1109/ICIVC50857.2020.9177468","DOIUrl":null,"url":null,"abstract":"An improved three-frame-difference algorithm is proposed. The algorithm contains two sub-algorithm‐‐‐‐double-layer three-frame-difference algorithm, and history location data statistics and analysis algorithm. Double-layer three-frame-difference algorithm can fill the incomplete parts, and the history location data statistics and analysis algorithm can eliminate noise. Two examples containing one target (with size about 10*40 pixels) and two targets (with size about 80*160 pixels) respectively are chosen. Results of them prove that the improved three-frame-difference algorithm can resolve the problems of traditional one-layer three-frame-difference algorithm, and get the accurate results.","PeriodicalId":6806,"journal":{"name":"2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC)","volume":"66 1","pages":"108-112"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIVC50857.2020.9177468","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
An improved three-frame-difference algorithm is proposed. The algorithm contains two sub-algorithm‐‐‐‐double-layer three-frame-difference algorithm, and history location data statistics and analysis algorithm. Double-layer three-frame-difference algorithm can fill the incomplete parts, and the history location data statistics and analysis algorithm can eliminate noise. Two examples containing one target (with size about 10*40 pixels) and two targets (with size about 80*160 pixels) respectively are chosen. Results of them prove that the improved three-frame-difference algorithm can resolve the problems of traditional one-layer three-frame-difference algorithm, and get the accurate results.