{"title":"Height measurements of moving people based on single camera","authors":"Mingxin Jiang, Fangshun Mu, Hongyu Wang","doi":"10.1109/ICAWST.2011.6163097","DOIUrl":null,"url":null,"abstract":"This work presents a method for height measurements of moving objects based on rubust tracking. At first, we compute vanishing line of the ground plane and the vertical vanishing point using three vertical poles. Secondly, tracking of multiple people is performed by graph cuts. Then, the head feature points and the feet feature points are extracted in each frame of video sequences, and obtain height measurements of multiple objects according to the projective geometric constraint. Finally, the multiframe measurements are optimized using RANSAC algorithm. The experimental results demonstrate that our method is effective and also achieves real-time performance.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAWST.2011.6163097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This work presents a method for height measurements of moving objects based on rubust tracking. At first, we compute vanishing line of the ground plane and the vertical vanishing point using three vertical poles. Secondly, tracking of multiple people is performed by graph cuts. Then, the head feature points and the feet feature points are extracted in each frame of video sequences, and obtain height measurements of multiple objects according to the projective geometric constraint. Finally, the multiframe measurements are optimized using RANSAC algorithm. The experimental results demonstrate that our method is effective and also achieves real-time performance.