Grid Particle Filter for Human Head Tracking Using 3D Model

DOI

10.2991/jcis.2008.48How to use a DOI?

Keywords

head tracking; face direction;3D model; grid particle filter

Abstract

A new 3D head-shoulder model based particle filter is presented for finding human head in static images. Edge cues are used as the likelihood function of the proposed particle filter. The positions of head as well as its direction are evaluated simultaneously. At each time step, the proposed algorithm generates a discre-tized grid state space and takes a sub-space of it as the searching space of the particles. Hence the number of particles is well limited and the performance of the particle filter is improved. The experi-mental results prove that our method is effective and robust.

Copyright

© 2008, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chenguang Liu
AU  - Jiafeng Liu
AU  - Jianhua Huang
AU  - Xianglong Tang
PY  - 2008/12
DA  - 2008/12
TI  - Grid Particle Filter for Human Head Tracking Using 3D Model
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 283
EP  - 288
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.48
DO  - 10.2991/jcis.2008.48
ID  - Liu2008/12
ER  -