Poster Presentation: Video Based Vehicle Tracking and Monitoring System
| dc.contributor.author | Igala Guruge, V. | |
| dc.contributor.author | Jayamanne, D. | |
| dc.date.accessioned | 2023-07-04T11:11:12Z | |
| dc.date.available | 2023-07-04T11:11:12Z | |
| dc.date.issued | 2018-08-25 | |
| dc.description.abstract | Computer vision technology has paved the way to process video based traffic monitoring as an alternative way to traditional monitoring methods. In vehicle traffic monitoring, there are three main tasks namely vehicle detection, tracking and classification. This paper presents a feasible solution for vehicle detection, tacking and classification from a video via extracting and analyzing video frames. The background is modeled using a background model and the foreground is estimated using background subtraction. Then after applying morphological operations, the presence of a vehicle is detected on the foreground and classified according to its type. The system is also able to count the number of vehicles with in a defined region of interest. | |
| dc.identifier.citation | Igala Guruge, Vimukthi., Jayamanne, Dileepa (2018) Video Based Vehicle Tracking and Monitoring System , International Conference On Business Innovation (ICOBI), NSBM Green University Town, Sri Lanka. P. 191 | |
| dc.identifier.uri | https://nspace.nsbm.ac.lk/handle/123456789/76 | |
| dc.language.iso | en | |
| dc.publisher | NSBM Green University | |
| dc.title | Poster Presentation: Video Based Vehicle Tracking and Monitoring System | |
| dc.type | Article |