{"title":"实时图像分割动作识别","authors":"S. Arseneau, J. Cooperstock","doi":"10.1109/PACRIM.1999.799484","DOIUrl":null,"url":null,"abstract":"In order to recognize actions of a human properly, an algorithm must be able to detect a person accurately in any given image. This data will be used to ascertain what action the user is performing. Many methods have been proposed that use a difference picture technique in which the image of the user is subtracted from a previously known image with the same background, without the user. These methods, however, are plagued with problems of noise and \"ghosting\", the undesirable introduction of image fragments as a result of changes in light intensity and moving objects in the background. The proposed algorithm combines several image processing methods in order to produce a clean difference image, while being far more robust to changes in light intensities and in the background scene.","PeriodicalId":176763,"journal":{"name":"1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 1999). Conference Proceedings (Cat. No.99CH36368)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":"{\"title\":\"Real-time image segmentation for action recognition\",\"authors\":\"S. Arseneau, J. Cooperstock\",\"doi\":\"10.1109/PACRIM.1999.799484\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to recognize actions of a human properly, an algorithm must be able to detect a person accurately in any given image. This data will be used to ascertain what action the user is performing. Many methods have been proposed that use a difference picture technique in which the image of the user is subtracted from a previously known image with the same background, without the user. These methods, however, are plagued with problems of noise and \\\"ghosting\\\", the undesirable introduction of image fragments as a result of changes in light intensity and moving objects in the background. The proposed algorithm combines several image processing methods in order to produce a clean difference image, while being far more robust to changes in light intensities and in the background scene.\",\"PeriodicalId\":176763,\"journal\":{\"name\":\"1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 1999). Conference Proceedings (Cat. No.99CH36368)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 1999). Conference Proceedings (Cat. No.99CH36368)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACRIM.1999.799484\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 1999). Conference Proceedings (Cat. No.99CH36368)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.1999.799484","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time image segmentation for action recognition
In order to recognize actions of a human properly, an algorithm must be able to detect a person accurately in any given image. This data will be used to ascertain what action the user is performing. Many methods have been proposed that use a difference picture technique in which the image of the user is subtracted from a previously known image with the same background, without the user. These methods, however, are plagued with problems of noise and "ghosting", the undesirable introduction of image fragments as a result of changes in light intensity and moving objects in the background. The proposed algorithm combines several image processing methods in order to produce a clean difference image, while being far more robust to changes in light intensities and in the background scene.