Title :
Detecting Hand-Ball Events in Video Sequences
Author :
Miller, Nate ; Mann, R.
Author_Institution :
David R. Cheriton Sch. or Comput. Sci., Univ. of Waterloo, Waterloo, ON
Abstract :
We analyse video sequences of a hand interacting with a ball. The hand motion is segmented using a piecewise polynomial motion model inspired by research in motor control. Next, an adaptive gravitational model of the ball is used to locate hand-ball events. We show that hand-ball events can be automatically classified from velocity and acceleration profiles.
Keywords :
image motion analysis; image segmentation; image sequences; piecewise polynomial techniques; video signal processing; adaptive gravitational model; hand interacting; hand motion; hand-ball events; motor control; piecewise polynomial motion model; video sequences; Acceleration; Computer vision; Event detection; Force measurement; Image motion analysis; Layout; Motion analysis; Motor drives; Polynomials; Video sequences; Computational Perception; Events; Motion Understanding;
Conference_Titel :
Computer and Robot Vision, 2008. CRV '08. Canadian Conference on
Conference_Location :
Windsor, Ont.
Print_ISBN :
978-0-7695-3153-3
DOI :
10.1109/CRV.2008.26
