{"title":"一种改进的基于时间差分的运动检测方法","authors":"Shui-gen Wei, Zhen Chen, Ming Li, Liang Zhuo","doi":"10.1109/IWISA.2009.5072718","DOIUrl":null,"url":null,"abstract":"An improved method of motion detection based on temporal difference is proposed in this paper. This method could solve the general problem of holes being generated in moving object area when using temporal difference method. Firstly, an absolute differential image is calculated from two consecutive gray frames in image sequences. Secondly, the absolute differential image is filtered by low-pass filter, and translated into binary image. Thirdly, a number of binary images are calculated by some gray images in the image sequences. Finally, motion object region is extracted by arithmetic operations of pixels from binary images mentioned above. Experimental results show that this improved method is suitable and effective. It could detect the moving object area precisely.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"49 4 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"An Improved Method of Motion Detection Based on Temporal Difference\",\"authors\":\"Shui-gen Wei, Zhen Chen, Ming Li, Liang Zhuo\",\"doi\":\"10.1109/IWISA.2009.5072718\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An improved method of motion detection based on temporal difference is proposed in this paper. This method could solve the general problem of holes being generated in moving object area when using temporal difference method. Firstly, an absolute differential image is calculated from two consecutive gray frames in image sequences. Secondly, the absolute differential image is filtered by low-pass filter, and translated into binary image. Thirdly, a number of binary images are calculated by some gray images in the image sequences. Finally, motion object region is extracted by arithmetic operations of pixels from binary images mentioned above. Experimental results show that this improved method is suitable and effective. It could detect the moving object area precisely.\",\"PeriodicalId\":6327,\"journal\":{\"name\":\"2009 International Workshop on Intelligent Systems and Applications\",\"volume\":\"49 4 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWISA.2009.5072718\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2009.5072718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Improved Method of Motion Detection Based on Temporal Difference
An improved method of motion detection based on temporal difference is proposed in this paper. This method could solve the general problem of holes being generated in moving object area when using temporal difference method. Firstly, an absolute differential image is calculated from two consecutive gray frames in image sequences. Secondly, the absolute differential image is filtered by low-pass filter, and translated into binary image. Thirdly, a number of binary images are calculated by some gray images in the image sequences. Finally, motion object region is extracted by arithmetic operations of pixels from binary images mentioned above. Experimental results show that this improved method is suitable and effective. It could detect the moving object area precisely.
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