Tracking with the EM contour algorithm

Abstract

A novel active-contour methodis presentedandappliedto pose refinement andtrac king. The main innovation is that no”features” are detectedat any stage: contours are simply assumedto remove statistical dependencies between pixels on opposite sides of the contour. This assumption, together with a simple model of shape variability of the geometric models, leads to the application of an EM method for maximizing the likelihood of pose parameters. In addition, a dynamical model of the system leads to the application of a Kalman filter. The method is demonstrated by tracking motor vehicles with 3-D models.