Zdenek Kalal's object tracking algorithm learns on the fly,
likely to make next 007 flick (video)  Microsoft's own OneVision
Video Recognizer may be novel, but if the folks in Redmond are
seriously looking to take things next-level, they should
probably cast their gaze across the pond. Zdenek Kalal, a
researcher at the University of Surrey, has just created what
may be the most sophisticated vision system known to the
civilian world. In essence, it takes the mundane task of
tracking objects to an entirely new platform, enabling users to
select an object on the fly and have the algorithm immediately
start tracking something new. Within seconds, it's able to
maintain a lock even if your object twists, turns, or leaves /
returns. Furthermore, these "objects" could be used as air mice
if you force it to track your digits, and if you teach it what
your staff looks like, you'll have a fully automated security
scanner that can recognize faces and grant / deny access based
on its database of white-listed individuals.