This work addresses the ill-posed problem of segmenting an image sequence and estimating the motion of the objects in it. Our algorithm uses both motion estimation and static segmentation to recursively refine the analysis.
Motion estimation uses an affine model performed by matching.
To insure a coherent segmentation throughout an entire sequence, the evolution of detected objects is determined by a tracking algorithm based on a Kalman filter. F. Dufaux, F. Moscheni, and A. Lippman. Spatio-temporal segmentation based on motion and static segmentation. Submitted to IEEE Proc. ICIP-95, Washington, DC, October 1995.