Paper Details

The recognition of people by their physiological or behavioural characteristics is called biometrics. There areseveral 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 realtime Similarly, studies have shown that humans have unique gait signatures which are not only different from the animals butthey are also differentiable within the human race. It has been observed that the human motion contains strong periodicitieswhile the animal motion does not show such characteristics. This property of gait can be used for object extraction andclassification from digital videos for indexing and retrieval applications. Video data can be summarized and segmented usinggait based descriptors for the intelligent browsing of the videos. Human gait analysis can be implemented to serve as identityverification for access control or criminology. This paper gives an in-depth analysis of various gait recognition techniquesused forhuman classification.

Haider Mehraj, MdHesam Akhter, Farkhanda Ana, Taseem Nazir, Arashid Ahmed, “Human Gait Recognition:A Review”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 13, pp. -, January 2018.