TY  - JOUR
T1  - Person Identification Based on Euclidean Distance Transform
AU - Huynh, Huu-Hung AU - Ho, Viet-Ha AU - Vo, Duc-Hoang AU - Ngo, Van-Sy 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 13
SP  - 4312
EP  - 4316
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.4312.4316
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.4312.4316
KW  - Person identification
KW  -distance transform
KW  -support vector machine
KW  -silhouette
KW  -gait
KW  -signature
AB  - This study presents a method of person identification working on a sequence of 2D silhouettes.
Inspired by the state-of-the-art gait signature gait energy image, we integrate a non-linear operation into the
stage of feature extraction in order to enhance the obtained gait signature. Unlike related works, our method
does not require the step of gait cycle separation. The accuracy of our approach was demonstrated by
experiments on the CASIA-A gait dataset and was comparable with many related studies.
ER  -