A new support tool for machine learning and pattern recognition using tracking and motion segmentation
E. Bichot, O. Masset, L. Mascarilla, Pierre Courtellemont · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
A new support tool using object tracking and motion based segmentation is developed for machine learning and pattern recognition. In the learning step, an object of interest is tracked while learning is performed from segmented frames. In the recognition step, target is tracked until favorable conditions allow identification. This tool is used in the context of the Aqu@thèque project which includes an automatic fish recognition system. Tracking is a dificult task especially in case of real world images. Particle filtering methods incorporating motion based segmentation measurement in importance sampling step improve performance.