A method to recognize the moving human activity about posture and velocity

Author

Lijie, Zhang ; Shaozhong, Lv ; Xu, Guo

Author_Institution

Coll. of Inf. Eng., Inner Mongolia Univ. of Technol., Hohhot, China

Volume

4

fYear

2011

fDate

24-26 Dec. 2011

Firstpage

2409

Lastpage

2413

Abstract

This work describes a method to recognize the moving human activity about posture and velocity, which can be useful for various further advanced human activity analysis. Considering the width information of the body can cover the outline of the body, numbers of the non-zero pixels in every row of the image including the detected moving human are used as the body characteristics and according to the width characteristics a neural network categorizer used to recognize body postures is designed in this paper. In order to decrease the calculation error of the velocity caused by the perspective projection, area of the moving target is proposed to modify the velocity calculated in the two-dimensional coordinate system. The effectiveness of the proposed method in this paper is demonstrated with experiments in an indoor environment.

Keywords

image motion analysis; neural nets; pose estimation; body postures; human activity analysis; moving human activity recognition; neural network categorizer; nonzero pixels; perspective projection; two-dimensional coordinate system; body posture recognition; human activity recognition; neural network; velocity recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Network Technology (ICCSNT), 2011 International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4577-1586-0

Type

conf

DOI

10.1109/ICCSNT.2011.6182457

Filename

6182457