Wilfried
Bohlken Research Interests
Scene Interpretation
- Scene Interpretation with Ontology-based Rules
- Spatial-temporal Reasoning
- Probabilistic Preference Measure
Image Processing
- Medical Image Processing
- Image Enhancement based on Multi-Scale Analysis
- Image Stitching
Other
- Neural Networks
Projects
PRAESINT
PRAESINT Probabilistische Präferenzmaße für die wissensbasierte Szeneninterpretation.
Involvement in the project: Mar 2011 - Feb 2012
Co-FRIEND
NEW: Co-FRIEND on YouTube!
Co-FRIEND (Cognitive & Flexible learning system operating
Robust Interpretation of Extended real scenes by
multi-sensor Datafusion) aims to design a framework
for understanding human activities in real environments, through an
artificial cognitive vision system, identifying objects and events, and
extracting sense from scene observation. It will manage uncertainty and
change, and will create analysis meaning.
A heterogeneous sensor network, composed of wide angle and PTZ cameras and GPS vehicle monitoring, will be deployed on Toulouse airport. Multi-data fusion and feedbacks will be exploited to achieve robust detection and efficient tracking of objects in real and complex scenes. The scene understanding will be assisted by machine learning, providing advance reasoning capabilities compliant in a largely unsupervised way to variations and novelties.
Involvement in the project: Apr 2008 - Feb 2011
