M. Sc. Rawya Al Akam

Guest of the Working Group Active Vision


  • Action Recognition




Al-Akam, Rawya; Paulus, Dietrich (2019): Comparison of different machine learning models on feature extraction for human activity recognition from RGB-depth datasets. In: Eleventh International Conference on Machine Vision (ICMV), Munich, Germany. Bellingham, WA USA: SPIE. Bd. 11041. S. 603--612.


Al-Akam, Rawya; Paulus, Dietrich (2018): Local Feature Extraction from RGB and Depth Videos for Human Action Recognition. In: International Journal of Machine Learning and Computing,. Bd. 8. Nr. 3. S. 274-279.

Al-Akam, Rawya; Paulus, Dietrich (2018): Local and Global Feature Descriptors Combination from RGB-Depth Videos for Human Action Recognition. In: Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,. Madeira, Portuga: SciTePress. S. 265-272.

Al-Akam, Rawya; Al-darraji, Salah; Paulus, Dietrich (2018): Human Action Recognition from RGBD Videos based on Retina Model and Local Binary Pattern Features. In: 26.Conference on Computer Graphics, Visualization and Computer Vision (WSCG),. Pilsen, Czech Republic: Vaclav Skala - Union Agency. S. 1--7.

Al-Akam, Rawya; Paulus, Dietrich (2018): Dense 3D Optical Flow Co-occurrence Matrices for Human Activity Recognition. In: 5th International Workshop on Sensor-based Activity Recognition and Interaction. New York, NY, USA: ACM. S. 16:1--16:8.


Al-Akam, Rawya; Paulus, Dietrich (2017): RGBD Human Action Recognition using Multi-Features Combination and K-Nearest Neighbors Classification. In: International Journal of Advanced Computer Science and Applications(IJACSA). Bd. 8. Nr. 10. S. 383--389.