{"title":"基于多元特征集成的足球运动员活动识别","authors":"T. D’orazio, Marco Leo, P. Mazzeo, P. Spagnolo","doi":"10.1109/AVSS.2010.62","DOIUrl":null,"url":null,"abstract":"Human action recognition is an important research areain the field of computer vision having a great number ofreal-world applications. This paper presents a multi-viewaction recognition framework that extracts human silhouetteclues from different cameras, analyzes scene dynamicsand interprets human behaviors by the integration of multivariatedata in fuzzy rule-based system. Different featureshave been considered for the player action recognition someof them concerning the human silhouette analysis, and someothers related to the ball and player kinematics. Experimentswere carried out on a multi view image sequences ofa public soccer data set.","PeriodicalId":415758,"journal":{"name":"2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Soccer Player Activity Recognition by a Multivariate Features Integration\",\"authors\":\"T. D’orazio, Marco Leo, P. Mazzeo, P. Spagnolo\",\"doi\":\"10.1109/AVSS.2010.62\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Human action recognition is an important research areain the field of computer vision having a great number ofreal-world applications. This paper presents a multi-viewaction recognition framework that extracts human silhouetteclues from different cameras, analyzes scene dynamicsand interprets human behaviors by the integration of multivariatedata in fuzzy rule-based system. Different featureshave been considered for the player action recognition someof them concerning the human silhouette analysis, and someothers related to the ball and player kinematics. Experimentswere carried out on a multi view image sequences ofa public soccer data set.\",\"PeriodicalId\":415758,\"journal\":{\"name\":\"2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AVSS.2010.62\",\"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 7th IEEE International Conference on Advanced Video and Signal Based Surveillance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AVSS.2010.62","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Soccer Player Activity Recognition by a Multivariate Features Integration
Human action recognition is an important research areain the field of computer vision having a great number ofreal-world applications. This paper presents a multi-viewaction recognition framework that extracts human silhouetteclues from different cameras, analyzes scene dynamicsand interprets human behaviors by the integration of multivariatedata in fuzzy rule-based system. Different featureshave been considered for the player action recognition someof them concerning the human silhouette analysis, and someothers related to the ball and player kinematics. Experimentswere carried out on a multi view image sequences ofa public soccer data set.
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