Computer vision pre-fusion and spatiotemporal tracking

摘要

The present invention relates to a new image processing method of multiple images (IMG). First, a plurality of predetermined image features are defined. Based on this plurality of predetermined image features, the image feature information of each of the plurality of images (IMG) is determined. The image feature information thus determined is fused into a new image. This process is also called image fusion (IF). Spatial-temporal tracking of an object of the new image is enabled using a probabilistic graphical model (PGM). The probabilistic graphical model (PGM) can be modified by hierarchical modeling or order decoupling. Furthermore, special boundary conditions can be defined to accommodate the probabilistic graphical model (PGM). The new merged image comprises an increased density of information through the image fusion IF. This preferably results in a new image with increased information density. It usually allows for improved modeling within the probabilistic graphical model (PGM) and improved spatiotemporal tracking of objects.