{"title":"Extended Object Tracking and Stream Control Model Based on Predictive Evaluation Metric of Multiple-Angled Streams","authors":"D. Cymbalák, O. Kainz, F. Jakab","doi":"10.7763/IJCTE.2015.V7.983","DOIUrl":null,"url":null,"abstract":"Paper describes the design of extended model for tracking and locating object in multi-cameras environment with controlling the streams from multiple angles in real time. Proposed and experimentally implemented solution is attempting to deliver via streaming technology of the only specific shot from scene that has the best view on tracked object in real time. Measurement of the best shot for the tracking object is based on proposed evaluation metric, consisting of dimensional, locational and reliability parameters gathered from object tracking methods. For latency optimization and accuracy of evaluation the prediction of evaluation metric was outlined. Solution is experimentally tested in standard and mobile environment as well. Approach described in this paper is innovative regarding the content related video stream delivery.","PeriodicalId":306280,"journal":{"name":"International Journal of Computer Theory and Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Theory and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7763/IJCTE.2015.V7.983","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Paper describes the design of extended model for tracking and locating object in multi-cameras environment with controlling the streams from multiple angles in real time. Proposed and experimentally implemented solution is attempting to deliver via streaming technology of the only specific shot from scene that has the best view on tracked object in real time. Measurement of the best shot for the tracking object is based on proposed evaluation metric, consisting of dimensional, locational and reliability parameters gathered from object tracking methods. For latency optimization and accuracy of evaluation the prediction of evaluation metric was outlined. Solution is experimentally tested in standard and mobile environment as well. Approach described in this paper is innovative regarding the content related video stream delivery.