Human Gait Recognition:A Review
Keywords:
Biometrics, Gait, Feature vector.Abstract
The recognition of people by their physiological or behavioural characteristics is called biometrics. There are
several biometrics that are being used for personal identification such as fingerprints, DNA, face, retinal scan, iris, voice,
foot, hand geometry and gait.Gait analysis and recognition from digital video data has many applications. For example,
digital video footage from subway stations, airports or other public places may be processed to find event exceptions in real
time Similarly, studies have shown that humans have unique gait signatures which are not only different from the animals but
they are also differentiable within the human race. It has been observed that the human motion contains strong periodicities
while the animal motion does not show such characteristics. This property of gait can be used for object extraction and
classification from digital videos for indexing and retrieval applications. Video data can be summarized and segmented using
gait based descriptors for the intelligent browsing of the videos. Human gait analysis can be implemented to serve as identity
verification for access control or criminology. This paper gives an in-depth analysis of various gait recognition techniques
used forhuman classification.
