Summary: Automatic 2D Hand Tracking in Video Sequences
Quan Yuan Stan Sclaroff Vassilis Athitsos #
Computer Science Department
Boston University
Boston, MA 02215
Abstract
In gesture and sign language video sequences, hand motion
tends to be rapid, and hands frequently appear in front of
each other or in front of the face. Thus, hand location is
often ambiguous, and naive color­based hand tracking is
insufficient. To improve tracking accuracy, some methods
employ a prediction­update framework, but such methods
require careful initialization of model parameters, and tend
to drift and lose track in extended sequences. In this paper, a
temporal filtering framework for hand tracking is proposed
that can initialize and reset itself without human interven­
tion. In each frame, simple features like color and motion
residue are exploited to identify multiple candidate hand lo­
cations. The temporal filter then uses the Viterbi algorithm
to select among the candidates from frame to frame. The re­

Source: Athitsos, Vassilis - Department of Computer Science and Engineering, University of Texas at Arlington

Collections: Computer Technologies and Information Sciences