期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：9
页码：462-468
出版社：Science and Information Society (SAI)
摘要：When someone walks, there is a repetitive
movement or coordinated cycle that forms a gait. Gait is
different, unique and difficult to imitate. This characteristic
makes gait one of the biometrics to find out one's identity. Gait
analysis is needed in the development of biometric technology,
such as in the field of security surveillance and the health sector
to monitor gait abnormalities. The center of mass is the unique
point of every object that has a role in the study of humans
walking. Each person has a different center of mass. In this
research, through a series of processes in image processing such
as video acquisition, segmentation, silhouette formation, and
feature extraction, the center of mass of the human body can be
identified using a webcam with the resolution of 640 x 480 pixels
and the frame rate of 30 frames/second. The results obtained
from this research were gait frames of 510 frames from 17
pedestrian videos. Segmentation process using background
subtraction separates the pedestrian object image from the
background. Silhouette gait was produced from a series of image
enhancement processes to eliminate noise that interferes the
image quality. Based on the silhouette, feature extraction
provides the center of mass to distinguish each individual's gait.
The sequence of center of mass can be further processed for
characterizing human gait cycle for various purposes.
关键词：Human gait; center of mass; silhouette; feature
extraction; gait cycle; people identification
