120 citations · 175 across the 6 of their papers we have counts for
4 papers · 1 filter
Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules
Alireza Sepas-Moghaddam, Saeed Ghorbani, Nikolaus F. Troje +1
Gait recognition, referring to the identification of individuals based on the manner in which they walk, can be very challenging due to the variations in the viewpoint of the camer…
MoVi: A Large Multipurpose Motion and Video Dataset
Saeed Ghorbani, Kimia Mahdaviani, Anne Thaler +4
Human movements are both an area of intense study and the basis of many applications such as character animation. For many applications, it is crucial to identify movements from vi…
Auto-labelling of Markers in Optical Motion Capture by Permutation Learning
Saeed Ghorbani, Ali Etemad, Nikolaus F. Troje
Optical marker-based motion capture is a vital tool in applications such as motion and behavioural analysis, animation, and biomechanics. Labelling, that is, assigning optical mark…
AMASS: Archive of Motion Capture as Surface Shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje +2
Large datasets are the cornerstone of recent advances in computer vision using deep learning. In contrast, existing human motion capture (mocap) datasets are small and the motions…