NDLI: Gait biometrics: investigating the use of the lower inner regions for people identification from landmark frames

Content Provider	IET Digital Library
Author	Bekhouch, Amara Bouchrika, Imed Doghmane, Nouredine
Abstract	The recent technological advances in surveillance, forensic and biometric systems to deter or even reduce the increasing number of crimes and prevent them is still questionable. The use of gait biometrics has attracted unprecedented interest due to its capability to work with low-resolution footage recorded from a distance. In contrast to mainstream research on gait biometrics which uses holistic silhouette features, the authors investigate the use of the bottom dynamic section within the human body to derive the most discriminative features for gait recognition. A new descriptor based on 7 Hu's moments is proposed describing the inner lower limb regions between the limbs being extracted only from landmark frames within one gait cycle. In order to assess the discriminatory potency of gait features from the lower regions for people identification, a number of experiments are conducted on the CASIA-B gait database to investigate the recognition rates using the KNN classifier and deep learning. The comparative analysis is performed against well-established research studies which were tested on the CASIA-B data set. The obtained results confirm the consistency of features extracted from the lower regions for gait recognition even under the impact of various factors.
Starting Page	269
Ending Page	277
Page Count	9
ISSN	20474938
Volume Number	9
e-ISSN	20474946
Issue Number	Issue 6, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/9/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2020.0001
Journal	IET Biometrics
Publisher Date	2020-08-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biometric System Biomimetics CASIA-B Gait Database Computer Vision And Image Processing Technique Feature Extraction Gait Analysis Gait Biometrics Gait Cycle Gait Recognition Holistic Silhouette Feature Image Resolution Inner Lower Limb Region Landmark Frames Law Administration Learning in AI Low-resolution Footage Neural Computing Technique Neural Nets Optical, Image And Video Signal Processing People Identification Public Administration Terrorism
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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