{"title":"一种改进的双背景模型vibe算法用于快速抑制鬼像","authors":"Baoyu Song, Botao Wang","doi":"10.1117/12.2639141","DOIUrl":null,"url":null,"abstract":"Aiming at the problem that traditional ViBe algorithm is prone to appear ghost area in the process of moving target detection, an improved ViBe algorithm was proposed. In the background model initialization stage, a time background model is added for each pixel, which uses the temporal characteristics of the pixel; at the same time, the original background model is improved, and the image used for modeling is determined by comparing the Hamming distance between frames. The coexistence of dual-background models is realized. In the foreground detection stage, the decision mechanism of the foreground detection is improved, that is, the Euclidean distance between the current pixel and the median of the temporal background model sample is used to supplement the decision; Finally, a cross-updating strategy is designed to rapidly update the dual-background model in the background model updating stage. Experiments show that compared with the traditional ViBe algorithm, the algorithm in this paper has a better effect on ghost suppression.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An improved vibe algorithm of dual background model for quickly suppressing ghost images\",\"authors\":\"Baoyu Song, Botao Wang\",\"doi\":\"10.1117/12.2639141\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the problem that traditional ViBe algorithm is prone to appear ghost area in the process of moving target detection, an improved ViBe algorithm was proposed. In the background model initialization stage, a time background model is added for each pixel, which uses the temporal characteristics of the pixel; at the same time, the original background model is improved, and the image used for modeling is determined by comparing the Hamming distance between frames. The coexistence of dual-background models is realized. In the foreground detection stage, the decision mechanism of the foreground detection is improved, that is, the Euclidean distance between the current pixel and the median of the temporal background model sample is used to supplement the decision; Finally, a cross-updating strategy is designed to rapidly update the dual-background model in the background model updating stage. Experiments show that compared with the traditional ViBe algorithm, the algorithm in this paper has a better effect on ghost suppression.\",\"PeriodicalId\":336892,\"journal\":{\"name\":\"Neural Networks, Information and Communication Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neural Networks, Information and Communication Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2639141\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neural Networks, Information and Communication Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2639141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An improved vibe algorithm of dual background model for quickly suppressing ghost images
Aiming at the problem that traditional ViBe algorithm is prone to appear ghost area in the process of moving target detection, an improved ViBe algorithm was proposed. In the background model initialization stage, a time background model is added for each pixel, which uses the temporal characteristics of the pixel; at the same time, the original background model is improved, and the image used for modeling is determined by comparing the Hamming distance between frames. The coexistence of dual-background models is realized. In the foreground detection stage, the decision mechanism of the foreground detection is improved, that is, the Euclidean distance between the current pixel and the median of the temporal background model sample is used to supplement the decision; Finally, a cross-updating strategy is designed to rapidly update the dual-background model in the background model updating stage. Experiments show that compared with the traditional ViBe algorithm, the algorithm in this paper has a better effect on ghost suppression.