{"title":"基于移动平均滤波器的低照度视频图像运动目标识别降噪方法","authors":"Weijie Zhou, Y. Miura","doi":"10.1109/ICCE-TW.2016.7521023","DOIUrl":null,"url":null,"abstract":"In this research, we propose the image correction method for low-illuminance image of the normal video camera. In the motion recognition for low-light video images which was filmed at night, it is possible to improve the accuracy of recognition by intensity correction and noise removal as preparation. It is possible to realize robust motion recognition to the changes in illumination. Therefore, in the preparation of the combination of gamma correction and denoising filter, we have to consider about the appropriate parameters. In this research, we introduce the moving-average filter as the denoising filter, and evaluate the processing time and the performance for the proposed method.","PeriodicalId":6620,"journal":{"name":"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"23 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Denoising method using a moving-average filter for the moving-object recognition of low-illuminance video-image\",\"authors\":\"Weijie Zhou, Y. Miura\",\"doi\":\"10.1109/ICCE-TW.2016.7521023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research, we propose the image correction method for low-illuminance image of the normal video camera. In the motion recognition for low-light video images which was filmed at night, it is possible to improve the accuracy of recognition by intensity correction and noise removal as preparation. It is possible to realize robust motion recognition to the changes in illumination. Therefore, in the preparation of the combination of gamma correction and denoising filter, we have to consider about the appropriate parameters. In this research, we introduce the moving-average filter as the denoising filter, and evaluate the processing time and the performance for the proposed method.\",\"PeriodicalId\":6620,\"journal\":{\"name\":\"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)\",\"volume\":\"23 1\",\"pages\":\"1-2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-TW.2016.7521023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-TW.2016.7521023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Denoising method using a moving-average filter for the moving-object recognition of low-illuminance video-image
In this research, we propose the image correction method for low-illuminance image of the normal video camera. In the motion recognition for low-light video images which was filmed at night, it is possible to improve the accuracy of recognition by intensity correction and noise removal as preparation. It is possible to realize robust motion recognition to the changes in illumination. Therefore, in the preparation of the combination of gamma correction and denoising filter, we have to consider about the appropriate parameters. In this research, we introduce the moving-average filter as the denoising filter, and evaluate the processing time and the performance for the proposed method.
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