Soutenance de thèse de Hoang Anh NGUYEN, Département d'informatique et de recherche opérationnelle.
Date : mercredi 3 décembre 2014
Heure : 9 h 30
Endroit : salle 3195, Pavillon André-Aisenstadt, 2920 chemin de la Tour
Gait analysis has emerged as one of the most important medical field recently due to its wide range of applications. Marker-based systems are the most favoured methods of human motion assessment and gait analysis, however, these systems require specific equipment and expertise and are cumbersome, costly and difficult to use. Many recent computer-vision-based approaches have been developed to reduce the cost of the expensive motion capture systems while assuring high accuracy result.
In this thesis, we introduce our new low-cost gait analysis system that is composed of two cheap monocular cameras (camcorders) placed on the left and right side of a treadmill. Each 2D half human skeleton model is reconstructed from each view based on dynamic color segmentation, the gait analysis is then performed on these two models. The validation with both state-of-the-art vision-based motion capture system (using the Microsoft Kinect) and ground-truth (with markers) was done to demonstrate the robustness and efficiency of our system. The average error in human skeleton model estimation compared to ground-truth between our method vs. Kinect were very promising and our system showed more accuracy and discriminative power between the two cases.
- Président-rapporteur : Pierre Poulin
- Directeur de recherche : Jean Meunier
- Membre du jury : Sébastien Roy
- Examinateur externe : Prof. Nizar Bouguila ; Inst. For Information Systems Eng., Concordia University
- Représentant du doyen de la faculté : à confirmer