{"title":"运动物体在Matlab试验台反射(通过内置函数仿真模型)","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":"{\"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}","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}
The moving object reflected under Matlab test-bench (Simulation model through buit-in functions)
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.