{"title":"从一阶运动模型和法向流估计碰撞时间映射","authors":"François G. Meyer, P. Bouthemy","doi":"10.1109/ICPR.1992.201512","DOIUrl":null,"url":null,"abstract":"Addresses the problem of estimating time-to-collision maps involving all the objects in relative motion with respect to the camera. The approach only takes into account normal flows. Moreover the authors prove that first-order visual motion models are sufficient to obtain time-to-collision. Experiments have been carried out on real images to validate the performance of the method.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"27 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"47","resultStr":"{\"title\":\"Estimation of time-to-collision maps from first order motion models and normal flows\",\"authors\":\"François G. Meyer, P. Bouthemy\",\"doi\":\"10.1109/ICPR.1992.201512\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Addresses the problem of estimating time-to-collision maps involving all the objects in relative motion with respect to the camera. The approach only takes into account normal flows. Moreover the authors prove that first-order visual motion models are sufficient to obtain time-to-collision. Experiments have been carried out on real images to validate the performance of the method.<<ETX>>\",\"PeriodicalId\":410961,\"journal\":{\"name\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"volume\":\"27 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"47\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1992.201512\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.201512","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of time-to-collision maps from first order motion models and normal flows
Addresses the problem of estimating time-to-collision maps involving all the objects in relative motion with respect to the camera. The approach only takes into account normal flows. Moreover the authors prove that first-order visual motion models are sufficient to obtain time-to-collision. Experiments have been carried out on real images to validate the performance of the method.<>