Code
05V01311
Duration
01 January 2011 → 31 October 2015
Funding
Ghent University funding
Promotor
Research disciplines
-
Natural sciences
- Applied mathematics in specific fields
- Computer architecture and networks
- Distributed computing
- Information sciences
- Information systems
- Programming languages
- Scientific computing
- Theoretical computer science
- Visual computing
- Other information and computing sciences
-
Engineering and technology
- Modelling
- Multimedia processing
- Biological system engineering
- Signal processing
Keywords
object detection
multimodal
video surveillance
object recognition
Project description
By merging the different kinds of data provided by visual, thermal and/or depth cameras, automatic video surveillance can achieve more accurate object detection. Since, besides the visual information, also thermal and depth information can be extracted, object identification can probably also be improved. New multimodal object detection and recognition techniques will be investigated to achieve these goals.