Session
Computer Science and Communication Engineering
Description
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.
Keywords:
object, individual, performance, algorithm
Session Chair
Felix Breitenecker
Session Co-Chair
Edmond Jajaga
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-437-69-1
First Page
120
Last Page
124
Location
Pristina, Kosovo
Start Date
27-10-2018 3:15 PM
End Date
27-10-2018 4:45 PM
DOI
10.33107/ubt-ic.2018.113
Recommended Citation
Lesha, Virtyt; Bushati, Jozef; and Strica, Dea, "The moving object reflected under Matlab test-bench (Simulation model through buit-in functions)" (2018). UBT International Conference. 113.
https://knowledgecenter.ubt-uni.net/conference/2018/all-events/113
The moving object reflected under Matlab test-bench (Simulation model through buit-in functions)
Pristina, Kosovo
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.