DocumentCode :
3049363
Title :
A New Gait Analyzing Method Under Monocular Camera
Author :
Zhang, Yuanyuan ; Wu, Xiaojuan ; Qi, Lei ; Yang, Jun
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan
fYear :
2007
fDate :
6-8 July 2007
Firstpage :
577
Lastpage :
580
Abstract :
View point is a key factor in the field of gait analysis. This paper put forward a novel gait analyzing method which can avoid the affection of view points in some extent. It sponsors a new way of 3D point reconstruction from an image captured by a monocular camera with a coordinate conversion factor from the view of projective geometry through parallel restriction. In gait analysis, the human body is modeled by three connected sticks. Then we make use of the coordinate conversion factor to obtain the gait feature composed of five elements represented by the parameters of that model. In the experiments, our algorithm is tested by estimating the trajectory of walking people. The results reveal that the reconstruction is simple and effective. Moreover, the extracted features can partially avoid the affect of view points.
Keywords :
gait analysis; image reconstruction; medical image processing; 3D point reconstruction; coordinate conversion factor; gait analyzing method; gait feature; human body; monocular camera; walking; Biological system modeling; Cameras; Computer vision; Geometry; Humans; Image converters; Image reconstruction; Image sequences; Information analysis; Information science;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-1120-3
Type :
conf
DOI :
10.1109/ICBBE.2007.151
Filename :
4272635
Link To Document :
بازگشت