Integrating a discrete motion model into GMM based background subtraction
Résumé
GMM based algorithms have become the de facto standard for
background subtraction in video sequences, mainly because
of their ability to track multiple background
distributions, which allows them to handle complex scenes
including moving trees, flags moving in the wind etc.
However, it is not always easy to determine which
distributions of the mixture belong to the background and
which distributions belong to the foreground, which
disturbs the results of the labeling process for each
pixel. In this work we tackle this problem by taking the
labeling decision together for all pixels of several
consecutive frames minimizing a global energy function
taking into account spatial and temporal relationships. A
discrete approximative optical-flow like motion model is
integrated into the energy function and solved with
Ishikawa's convex graph cuts algorithm.