Heijenga, H. (2003) Robust vehicle detection in outdoor images. Master's Thesis / Essay, Computing Science.
|
Text
Infor_Ma_2003_HHeijenga.CV.pdf - Published Version Download (2MB) | Preview |
Abstract
The detection of vehicles is an important task in traffic monitoring and video surveillance. Traditional non-visual based methods to detect vehicles are often too expensive in maintenance and installation. They also cannot be deployed in every situation due to physical limitations. A visual vehicle detection system is on the other hand very flexible; it can be installed in nearly every situation and the costs to set up a camera are relative low compared to that of traditional detection systems. However, the detection of objects in digital images is anything but a trivia! task. This becomes even more of a problem when objects need to be detected in outdoor images where lighting conditions are unpredictable and constantly changing. Often there are also other objects (i.e. non-vehicles) present in the monitored area which could lead to false detection of vehicles. A visual vehicle detection system therefore needs a couple of requirements to be stated as robust. In this study an assessment will be made on these requirements and on current technologies and methods to detect vehicles in digital images.
| Item Type: | Thesis (Master's Thesis / Essay) |
|---|---|
| Degree programme: | Computing Science |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 15 Feb 2018 07:30 |
| Last Modified: | 15 Feb 2018 07:30 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/8874 |
Actions (login required)
 |
View Item |