{"title":"使用差分直方图均衡的运动检测","authors":"P.R.R. Hasanzadeh, A. Shahmirzaie, A. Rezaie","doi":"10.1109/ISSPIT.2005.1577093","DOIUrl":null,"url":null,"abstract":"In attention to general motion detection methods, differential sequences of frames make some convenience which expand it's usability for lots of applications. In practice, differential sequences of frames have been affected by environmental noises and CCD cameras structure that make it difficult to detect objects. In this method using differential histogram equalization, we try to enhance and increase the contrast between data and noise histogram levels. The new threshold levels adaptively obtained by simple algorithm and without knowing the probability distribution function of the noise","PeriodicalId":421826,"journal":{"name":"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Motion detection using differential histogram equalization\",\"authors\":\"P.R.R. Hasanzadeh, A. Shahmirzaie, A. Rezaie\",\"doi\":\"10.1109/ISSPIT.2005.1577093\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In attention to general motion detection methods, differential sequences of frames make some convenience which expand it's usability for lots of applications. In practice, differential sequences of frames have been affected by environmental noises and CCD cameras structure that make it difficult to detect objects. In this method using differential histogram equalization, we try to enhance and increase the contrast between data and noise histogram levels. The new threshold levels adaptively obtained by simple algorithm and without knowing the probability distribution function of the noise\",\"PeriodicalId\":421826,\"journal\":{\"name\":\"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPIT.2005.1577093\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2005.1577093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Motion detection using differential histogram equalization
In attention to general motion detection methods, differential sequences of frames make some convenience which expand it's usability for lots of applications. In practice, differential sequences of frames have been affected by environmental noises and CCD cameras structure that make it difficult to detect objects. In this method using differential histogram equalization, we try to enhance and increase the contrast between data and noise histogram levels. The new threshold levels adaptively obtained by simple algorithm and without knowing the probability distribution function of the noise