Simulated annealing based hand tracking in a discrete space

Wei Liang*, Yunde Jia, Yang Liu, Cheng Ge

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Hand tracking is a challenging problem due to the complexity of searching in a 20+ degrees of freedom (DOF) space for an optimal estimation of hand configuration. This paper represents the feasible hand configurations as a discrete space, which avoids learning to find parameters as general configuration space representations do. Then, we propose an extended simulated annealing method with particle filter to search for optimal hand configuration in this discrete space, in which simplex search running in multi-processor is designed to predict the hand motion instead of initializing the simulated annealing randomly, and particle filter is employed to represent the state of the tracker at each layer for searching in high dimensional configuration space. The experimental results show that the proposed method makes the hand tracking more efficient and robust.

Original languageEnglish
Title of host publicationAffective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings
PublisherSpringer Verlag
Pages119-126
Number of pages8
ISBN (Print)3540296212, 9783540296218
DOIs
Publication statusPublished - 2005
Event1st International Conference on ffective Computing and Intelligent Interaction, ACII 2005 - Beijing, China
Duration: 22 Oct 200524 Oct 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3784 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on ffective Computing and Intelligent Interaction, ACII 2005
Country/TerritoryChina
CityBeijing
Period22/10/0524/10/05

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