A multi-objective immune algorithm for human motion tracking

Author

Han, Hong ; Feng, Guangjie ; Gou, Jingxiang ; Wang, Rui

Author_Institution

Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xi´´an, China

fYear

2011

fDate

26-28 July 2011

Firstpage

59

Lastpage

62

Abstract

A crucial challenge in human body tracking is the high degrees of freedom (up to around 40) to be recovered. A method based on multi-objective optimization algorithm is presented here to tackle this problem. In our multi-objective optimization based human body tracking framework, tracking is considered as two functions´ co-optimization problem where the aim is to optimize the matching functions between the model projection and the image observation. Experiments on 3D human motion tracking demonstrate the effectiveness and computational efficiency of the proposed tracking method.

Keywords

image matching; motion estimation; object tracking; optimisation; solid modelling; 3D human motion tracking; computational efficiency; cooptimization problem; human body tracking; image observation; matching functions; model projection; multiobjective immune optimization algorithm; Biological system modeling; Humans; Immune system; Joints; Optimization; Three dimensional displays; Tracking; body tracking; immune algorithm; multi-objective optimization algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Technology (ICMT), 2011 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-61284-771-9

Type

conf

DOI

10.1109/ICMT.2011.6002110

Filename

6002110