Towards real-time markerless human motion capture from ambiance cameras using an hybrid particle filter

Author

Fontmarty, Mathias ; Lerasle, Frédéric ; Danès, Patrick

Author_Institution

LAAS-CNRS, Univ. of Toulouse, Toulouse

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

709

Lastpage

712

Abstract

In this article we present a two ambiance video camera system dedicated to markerless human motion capture. We introduce a new particle filter algorithm which entails an importance function enabling auto-(re)initialisation, and takes account of the global curvature of the likelihood so as to guide the search along poorly observable directions of the state space. The system robustness is improved by fusing different visual cues. Performances are nearly real time.

Keywords

image fusion; image motion analysis; importance sampling; object detection; particle filtering (numerical methods); tracking filters; video cameras; ambiance video camera system; hybrid particle filter; importance sampling; real-time markerless human motion capture; state space; visual cues fusion; visual tracking system; Annealing; Cameras; Filtering; Humans; Monte Carlo methods; Particle filters; Real time systems; Robustness; Sampling methods; State-space methods; data fusion; human motion; particle filtering; visual tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1522-4880

Print_ISBN

978-1-4244-1765-0

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2008.4711853

Filename

4711853