{"title":"视频序列与移动对象的马赛克","authors":"Chiou-Ting Hsu, Yu-Chun Tsan","doi":"10.1109/ICIP.2001.958509","DOIUrl":null,"url":null,"abstract":"We propose an efficient method for creating a mosaic of a video sequence in the presence of moving objects. This method includes two principal processes. The first one removes the moving objects from the background, and as a side effect, obtains the global motion. This global motion provides a good initial estimation to the next stage. Second, we employ a feature-based technique to derive the precise global motion with eight projective parameters. The performance of our work is demonstrated by experiments.","PeriodicalId":291827,"journal":{"name":"Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"46","resultStr":"{\"title\":\"Mosaics of video sequences with moving objects\",\"authors\":\"Chiou-Ting Hsu, Yu-Chun Tsan\",\"doi\":\"10.1109/ICIP.2001.958509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose an efficient method for creating a mosaic of a video sequence in the presence of moving objects. This method includes two principal processes. The first one removes the moving objects from the background, and as a side effect, obtains the global motion. This global motion provides a good initial estimation to the next stage. Second, we employ a feature-based technique to derive the precise global motion with eight projective parameters. The performance of our work is demonstrated by experiments.\",\"PeriodicalId\":291827,\"journal\":{\"name\":\"Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"46\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.2001.958509\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2001.958509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose an efficient method for creating a mosaic of a video sequence in the presence of moving objects. This method includes two principal processes. The first one removes the moving objects from the background, and as a side effect, obtains the global motion. This global motion provides a good initial estimation to the next stage. Second, we employ a feature-based technique to derive the precise global motion with eight projective parameters. The performance of our work is demonstrated by experiments.