COMPUTER VISION PRE-FUSION AND SPATIO-TEMPORAL TRACKING

摘要

The present invention relates to a new image processing method of several images (IMG). At first a plurality of predetermined image features is defined. On the basis of this plurality of predetermined image features image feature information of each of the several images (IMG) is determined. The so determined image feature information is fused into a new image. This process is also called an image fusion (IF). A spatio-temporal tracking of an object of the new image is enabled by using a probabilistic graphical model (PGM). The probabilistic graphical model (PGM) can be modified by a hierarchical modelling or order decoupling. Furthermore specific boundary conditions can be defined to adapt the probabilistic graphical model (PGM). The new fused image comprises an increased information density thanks to the image fusion (IF). This preferably leads to a new image with increased information density. It usually allows for an improved modelling within the probabilistic graphical model (PGM) and improved spatio-temporal tracking of objects.