Tracking using a local closed-world assumption : tracking in the football domain
STEPHEN S. INTILLE · DSpace@MIT (Massachusetts Institute of Technology) · 1994
In this work we address the problem of tracking objects in a complex, dynamic scene. The objects are nonrigid and difficult to model geometrically. Their motion is erratic and they change shape rapidly between frames sampled at 30 frames per second. The objects have low spatial resolution, and the video used for tracking was taken with a panning and zooming camera. Finally, the objects are tracked in sequences up to eight seconds long while moving over a complex background. We suggest that conventional tracking methods are unlikely to perform well at tracking small objects in complex environments because they do not use contextual information to drive feature selection. We propose using "closed-world" analysis to incorporate contextual knowledge into low-level tracking. A closed-world is a space-time region of an image where contextual information like the number and type of objects within the region is assumed to be known. Given that knowledge, the region can be analyzed locally using...