Tracking across non-overlapping views via geometry

Tracking across non-overlapping camera views is still an unsolved problem. Appearance is a popular cue that does not work when the views are considerably different. This paper proposes tracking in the 3-D space without using appearance. We propose to use the geometry between the two cameras. Linear inhomogeneous triangulation is expanded by a Gaussian random walk model. Tracking is then triangulation followed by a re-projection given the assumption that two persons cannot occupy the same space at the same time. A first experiment with a single person shows the success of this new tracking approach even with a 2m gap between the fields of view of the cameras.