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Snakes for tracking via generalized deterministic Scott T. Acton
 

Summary: Snakes for tracking via generalized deterministic
annealing
Scott T. Acton
University of Virginia
Department of Electrical and Computer Engineering
351 McCormick Road
Charlottesville, Virginia 22904
E-mail: acton@virginia.edu
Abstract. An implementation for parametric snakes used for object
tracking is proposed via generalized deterministic annealing (GDA).
Given an arbitrary energy functional that quantifies the quality of the
contour solution, GDA computes the snake position by approximat-
ing the solution given by stochastic simulated annealing. First, the
Markov chain representing the solution space for the snake position
is broken into N smaller, local Markov chains representing the posi-
tion of each discrete snake sample. At each annealing temperature,
GDA directly approximates the stationary distribution of the local
Markov chains using a mean field approximation for neighboring
snake sample positions, and the final distribution reveals the solu-
tion. In contrast to the typical implementation via gradient descent,

  

Source: Acton, Scott - Department of Electrical and Computer Engineering, University of Virginia

 

Collections: Computer Technologies and Information Sciences