Bayesian Estimation of Common Areas in Multi-Camera Systems

Abstract

In the paper a new Bayesian method is presented for the automatic extraction of common areas of images in multi-camera systems through the detection of concurrently changing pixels. Unlike existing still-image and motion-based methods our approach does not need any a priori information about the scene, the appearance of objects in the scene, or their motion. The method is validated by demonstrating its successful use on several real-life outdoor stereo video image-sequence pairs.