Title :
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
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;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6182457
