Motion recognition using spatio-temporal random walks in sequence of 2D motion-related measurements

Ronan Fablet (1, 2) , Patrick Bouthemy (2)

1 SC - Département Signal et Communications
2 IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires

This paper describes an original approach for non parametric motion analysis in image sequences. It relies on a statistical modeling of distributions of local motion-related measurements, computed over image sequences, resulting from spatio-temporal random walks. It handles in a single probabilistic framework both spatial and temporal properties of motion content. The important feature of our method is to make feasible the exact computation of conditional likelihood functions. We have carried out motion recognition experiments over a large set of real image sequences comprising various motion types.

Domaines: Traitement du signal et de l'image [eess.SP]

Ronan Fablet, Patrick Bouthemy. Motion recognition using spatio-temporal random walks in sequence of 2D motion-related measurements. ICIP 2001 : IEEE International Conference on Image Processing, October 7-10, Thessalonique, Greece, Oct 2001, Thessalonique, Greece. pp.652 - 655, ⟨10.1109/ICIP.2001.958203⟩. ⟨hal-02283280⟩