{"title":"基于双椭圆形状先验的交互式图切分割的移动跟踪","authors":"V. Jelen, J. Janáček, Z. Tomori","doi":"10.1109/SAMI.2010.5423734","DOIUrl":null,"url":null,"abstract":"Tracking of partially occluded or unevenly illuminated objects is the most challenging problem of the analysis of moving objects. Both problems can solve the graph cut segmentation with elliptical shape prior. Interactive control is necessary in the training phase of system as well as in a critical situation requiring the human intervention. Bi-elliptical shape prior model corresponds to the anatomy of animals and improves the precision of tracking. The system was tested in the analysis of animal's mobility which corresponds to the level of brain damage by a neurodegenerative disease.","PeriodicalId":306051,"journal":{"name":"2010 IEEE 8th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Mobility tracking by interactive graph-cut segmentation with Bi-elliptical shape prior\",\"authors\":\"V. Jelen, J. Janáček, Z. Tomori\",\"doi\":\"10.1109/SAMI.2010.5423734\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Tracking of partially occluded or unevenly illuminated objects is the most challenging problem of the analysis of moving objects. Both problems can solve the graph cut segmentation with elliptical shape prior. Interactive control is necessary in the training phase of system as well as in a critical situation requiring the human intervention. Bi-elliptical shape prior model corresponds to the anatomy of animals and improves the precision of tracking. The system was tested in the analysis of animal's mobility which corresponds to the level of brain damage by a neurodegenerative disease.\",\"PeriodicalId\":306051,\"journal\":{\"name\":\"2010 IEEE 8th International Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"volume\":\"132 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 8th International Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAMI.2010.5423734\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 8th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMI.2010.5423734","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mobility tracking by interactive graph-cut segmentation with Bi-elliptical shape prior
Tracking of partially occluded or unevenly illuminated objects is the most challenging problem of the analysis of moving objects. Both problems can solve the graph cut segmentation with elliptical shape prior. Interactive control is necessary in the training phase of system as well as in a critical situation requiring the human intervention. Bi-elliptical shape prior model corresponds to the anatomy of animals and improves the precision of tracking. The system was tested in the analysis of animal's mobility which corresponds to the level of brain damage by a neurodegenerative disease.