{"title":"Artificial neural networks for motion analysis","authors":"Ting Chen","doi":"10.1109/TAI.1994.346498","DOIUrl":null,"url":null,"abstract":"A novel approach to 3D rigid motion analysis using artificial neural network techniques is proposed. It differs from the previous works in the ways it tackles the problems of matching and motion parameter extraction among two frames. Experiments are conducted to corroborate the proposed techniques.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"73 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1994.346498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A novel approach to 3D rigid motion analysis using artificial neural network techniques is proposed. It differs from the previous works in the ways it tackles the problems of matching and motion parameter extraction among two frames. Experiments are conducted to corroborate the proposed techniques.<>