We propose a view-based approach to recognize humans from their gait. Two different image features have been considered:the width of the outer contour of the binarized silhouette of the walking person and the entire binary silhouette itself. To obtain the observation vector from the image features, we employ two different methods. In the first method, referred to as the indirect approach, the high-dimensional image feature is transformed to lower dimensional space by generating what we call the frame to exemplar (FED) distance. The FED vector captures both structural and dynamic traits of each individual. For compact and effective gait representation and recognition, the gait information in the FED vector sequences is captured in a hidden Markov model(HMM). In the second method, referred to as the direct approach,we work with the feature vector directly (as opposed to computing the FED) and train an HMM. We estimate the HMM parameters(specifically the observation probability ) based on the distance between the exemplars and the image features. In this way, we avoid learning high-dimensional probability density functions. The statistical nature of the HMMlends overall robustness to representation and recognition. Identification of Humans Using Gait
EXISTING SYSTEM:
There are various biometric based concepts are used in industrial applications for identification of an individual. They are•Signature verification (ie comparing a ‘new’ signature or signing with previously enrolled reference information) takes two forms: dynamic signature verification and analysis of a static signature
•Face Recognition method using Laplace faces and also using other methods
•Identification by voice rather than appearance has a long history in literature (a 1930s)
•Iris recognition methods
•Recognition using Digital Signatures
•The existing system has some drawbacks.
The problems are Not unique Easily malpractice can be possible Easily traceable by intruder so Low reliability No unique identification.
PROPOSED SYSTEM:
GAIT refers to the style of walking of an individual. Often,in surveillance applications, it is difficult to get face or iris information at the resolution required for recognition. Studies in psychopharmacology that humans have the capability of recognizing people from even impoverished displays of gait, indicating the presence of identity information in gait Recognition on the basis of how an individual walks has attracted interest from defense and other agencies for remote surveillance or infrared recordings of movement in an area under covert surveillance. The technology essentially involves dynamic mapping of the changing relationships of points on a body as that person moves.
Early work from the late 1980s built on bio mechanics studies that dated. It centered on the ‘stride pattern’ of a sideways silhouette, with a few measurement points from the hip to feet. More recent research appears to be encompassing people in the round and seeking to address the challenge of identification in adverse conditions (eg at night, amid smoke or at such a distance that the image quality is very poor)