This paper details a model-based method to track object in an image sequence and jointly estimates its motion. It uses the grey-level images and no preprocessing, as feature extraction for example, is done on the sequence. The main benefits of this method which avoids this extraction stage is to allow a better localization of the shape. This estimation problem is modelled by state equations which describe the evolution of the object in the sequence and the related measurements and is solved by a non-linear filtering method: the particle filtering.
['Patrick Lanvin', 'Jean-Charles Noyer', 'Mohammed Benjelloun']
Non-linear estimation of image motion and tracking