An adaptive clustering for multiple object tracking in sequences in and beyond the visible spectrum

Séverine Dubuisson (1)

1 PEQUAN - Performance et Qualité des Algorithmes Numériques

In this paper, we propose a method to track multiple deformable objects in sequences (with a static camera) in and beyond the visible spectrum by combining Gabor filtering and clustering. In a first step, a set of Gabor filter banks is used to filter the difference image between two consecutive frames. Then, the moving areas are sampled by randomly positioning particles in high magnitude area of the filtered image. Finally, these points are clustered to obtain one class for each moving object. The novelty in our method is in using cluster information from the previous frame to classify new particles in the current frame. This makes our method robust to occlusions, objects entering and leaving the field of view, objects stopping and starting, and moving objects getting really close to each other.

Domaines: Informatique [cs]

Séverine Dubuisson. An adaptive clustering for multiple object tracking in sequences in and beyond the visible spectrum. IEEE Workshop on Object Tracking and Classification in and Beyond the Visible Spectrum (OTCBVS) / CVPR, Jun 2006, New-York, United States. pp.142-150, ⟨10.1109/CVPRW.2006.25⟩. ⟨hal-01351602⟩