{"title":"The moving object reflected under Matlab test-bench (Simulation model through buit-in functions)","authors":"Virtyt Lesha, Jozef Bushati, Dea Strica","doi":"10.33107/UBT-IC.2018.113","DOIUrl":null,"url":null,"abstract":"Digital image processing is an area that finds many applications in three-dimensional graphics. One of the subjects considered in image processing is detection of moving objects. In this paper, we have analyzed the performance of an algorithm that detects a moving object. The performance relates to the speed of moving object during a pre-determined time interval. The methodology supports Matlab integrated with built-in functions. Specifically, as input of the simulation model is a video material containing moving objects. The model reads a video file presenting moving objects; after the model is executed in Matlab, the output emits moving objects associated to selections moving accordingly with moving objects. The performance analysis consists on tracking the people/objects from the colored markers as accurately as possible. This simulation serve for further research that lead to the generation of a practical product of detecting movable objects.","PeriodicalId":276348,"journal":{"name":"2018 UBT International Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 UBT International Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33107/UBT-IC.2018.113","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
Digital image processing is an area that finds many applications in three-dimensional graphics. One of the subjects considered in image processing is detection of moving objects. In this paper, we have analyzed the performance of an algorithm that detects a moving object. The performance relates to the speed of moving object during a pre-determined time interval. The methodology supports Matlab integrated with built-in functions. Specifically, as input of the simulation model is a video material containing moving objects. The model reads a video file presenting moving objects; after the model is executed in Matlab, the output emits moving objects associated to selections moving accordingly with moving objects. The performance analysis consists on tracking the people/objects from the colored markers as accurately as possible. This simulation serve for further research that lead to the generation of a practical product of detecting movable objects.