Robust object tracking based on spatial characterization of objects by additive invariants

We present an improved object tracking algorithm in the context of spatio-temporal segmentation. By incorporating invariants for the spatial characterization, the information supplied by the tracking algorithm to the current segmentation is extended from a purely temporal to a more comprehensive spatio-temporal description of the objects in the scene. Thereby, the extraction and the tracking of meaningful objects in video sequences is enhanced. The proposed spatial characterization is shown to be efficiently implementable due to the additivity in feature space of the chosen class of invariants.