Computer Vision Lab

Other Projects


Database generation


Context : 

In recent years, much work has been devoted to increasing the robustness of people tracking algorithms by introducing motion models[1]. The models usually are composed of a single activity and are linear, such as the well known Principal Component Analysis (PCA). In this projet the student will do the following:

 

1. Build a multiactivity database: for example: playing basketball, dancing, walking in different types of terrain including turning, etc.

2. Apply different learning techniques to "learn" such database in a probabilistic way: mixture of gaussians, kernel density estimation, gaussian processes[2], etc.

Figure 1: Basket motion from CMU database.

Reading:

[1] R. Urtasun and P. Fua. 3D Human Body Tracking using Deterministic Motion Models. In European Conference in Computer Vision (ECCV), Prague, Czech Republic, May 2004.

[2] K. Grochow, S. L. Martin, A. Hertzmann and Z. Popovic. Style-based Inverse Kinematics. Computer Graphics, SIGGRAPH proceedings (2004).

Persons in charge: Raquel Urtasun

Emailraquel.urtasun@epfl.ch