Supervision : Maaike de Boer
Location : The Machine learning department of Radboud University in Nijmegen, the Netherlands
Author : Camille Escher
Start date : 15/02/16
Main goal : Build a model and implement a prototype to better recognize events in videos by using the temporal relations of the sub-events sequence of events.
Progress : The basis (3 keyframes, 5 possible sub-events, one sub-event of interest per keyframe) of the method is working on Ubuntu for the 2 classes case. Need to evaluate the complexity and to generalize the method.
Tools and language :
- Ubuntu 15.04 (OS)
- Python 2.7.9 (Language)
- Pdb (Debugger)
- VIM (Editor)
- Scikit-learn (Library)