{"title":"关于运动边缘的局部检测","authors":"T. Hwang, James J. Clark","doi":"10.1109/ICPR.1990.118085","DOIUrl":null,"url":null,"abstract":"The authors propose a detection framework with multiple velocity channels for moving edges based on a generalization of J. Canny's edge detector (1986). Finite state machines (FSMs) are set up at discrete lattice points in the image plane and operate based on the outputs of all velocity channels. The outputs of the FSMs denote whether there are edges at their corresponding positions, and their states record the edge velocities. In the temporal dimension, statistics are attached to the edges to aid in removing phantom edges.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"67 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"On local detection of moving edges\",\"authors\":\"T. Hwang, James J. Clark\",\"doi\":\"10.1109/ICPR.1990.118085\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors propose a detection framework with multiple velocity channels for moving edges based on a generalization of J. Canny's edge detector (1986). Finite state machines (FSMs) are set up at discrete lattice points in the image plane and operate based on the outputs of all velocity channels. The outputs of the FSMs denote whether there are edges at their corresponding positions, and their states record the edge velocities. In the temporal dimension, statistics are attached to the edges to aid in removing phantom edges.<<ETX>>\",\"PeriodicalId\":135937,\"journal\":{\"name\":\"[1990] Proceedings. 10th International Conference on Pattern Recognition\",\"volume\":\"67 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1990] Proceedings. 10th International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1990.118085\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1990] Proceedings. 10th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1990.118085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The authors propose a detection framework with multiple velocity channels for moving edges based on a generalization of J. Canny's edge detector (1986). Finite state machines (FSMs) are set up at discrete lattice points in the image plane and operate based on the outputs of all velocity channels. The outputs of the FSMs denote whether there are edges at their corresponding positions, and their states record the edge velocities. In the temporal dimension, statistics are attached to the edges to aid in removing phantom edges.<>