Hand gesture modelling and recognition involving changing shapes and trajectories, using a Predictive EigenTracker

Hand gesture modelling and recognition involving changing shapes and trajectories, using a Predictive EigenTracker

Patwardhana and Roy update the EigenTracker to use particle filtering to automatically select the hand and track it. The Tracker predicts position each hand image, then finds the hand using the eigenvectors of hand templates, and computes the reconstruction error of the predicted image from the previous two iterations. If the change is large enough, a change in hand shape has occurred. By tracking the shape between hand changes, gestures can be determined.

Discussion
The change in eigen-templates used to find the hand seemingly just finds corners. Aren't there easier methods to find corners?

Kaustubh Srikrishna Patwardhana, and Sumantra Dutta Roy "Hand gesture modelling and recognition involving changing shapes and trajectories, using a Predictive EigenTracker" Pattern Recognition Letters Volume 28, Issue 3, 1 February 2007, Pages 329-334 Advances in Visual
information Processing, Special Issue of Pattern Recognition Letters on Advances in Visual Information Processing. (ICVGIP 2004)