{"title":"用于动作识别的运动估计光流:(FARNEBACK, HORN SCHUNCK, LUCAS KANADE和LUCAS-KANADE高斯导数)","authors":"Rosepreet Kaur Bhogal, V. Devendran","doi":"10.1109/IDCIoT56793.2023.10053515","DOIUrl":null,"url":null,"abstract":"Motion estimating is one of the methods which determines the movement from one frame to another in the videos. For an application of action recognition, choosing the optical flow can be an essential feature for recognizing actions. The optical flow consists of the information of the moving subject and objects in the video frames. This paper analyzes four motion estimating optical flow methods (Farneback, Horn Schunck, Lucas Kanade, and Lucas-Kanade Derivative of Gaussian explored based on visualization and PSNR. The NTURGB+D dataset uses for the analysis of experimental results.","PeriodicalId":60583,"journal":{"name":"物联网技术","volume":"28 1","pages":"675-682"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Motion Estimating Optical Flow for Action Recognition : (FARNEBACK, HORN SCHUNCK, LUCAS KANADE AND LUCAS-KANADE DERIVATIVE OF GAUSSIAN)\",\"authors\":\"Rosepreet Kaur Bhogal, V. Devendran\",\"doi\":\"10.1109/IDCIoT56793.2023.10053515\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Motion estimating is one of the methods which determines the movement from one frame to another in the videos. For an application of action recognition, choosing the optical flow can be an essential feature for recognizing actions. The optical flow consists of the information of the moving subject and objects in the video frames. This paper analyzes four motion estimating optical flow methods (Farneback, Horn Schunck, Lucas Kanade, and Lucas-Kanade Derivative of Gaussian explored based on visualization and PSNR. The NTURGB+D dataset uses for the analysis of experimental results.\",\"PeriodicalId\":60583,\"journal\":{\"name\":\"物联网技术\",\"volume\":\"28 1\",\"pages\":\"675-682\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"物联网技术\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/IDCIoT56793.2023.10053515\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"物联网技术","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/IDCIoT56793.2023.10053515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Motion Estimating Optical Flow for Action Recognition : (FARNEBACK, HORN SCHUNCK, LUCAS KANADE AND LUCAS-KANADE DERIVATIVE OF GAUSSIAN)
Motion estimating is one of the methods which determines the movement from one frame to another in the videos. For an application of action recognition, choosing the optical flow can be an essential feature for recognizing actions. The optical flow consists of the information of the moving subject and objects in the video frames. This paper analyzes four motion estimating optical flow methods (Farneback, Horn Schunck, Lucas Kanade, and Lucas-Kanade Derivative of Gaussian explored based on visualization and PSNR. The NTURGB+D dataset uses for the analysis of experimental results.
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