• Nidhi Malhotra

Human identification at a distance has recently picked up developing interest from computer vision researchers. This paper expects to propose a visual recognition algorithm in view of combination of static and dynamic body biometrics. For each arrangement including a walking figure, present changes of the segmented moving silhouettes are spoken to as a related succession of complex vector setups, and are then examined utilizing the Procrustes shape analysis technique to acquire a compact appearance representation, called static data of body. Additionally, a model-based methodology is introduced under a Condensation system to follow the walker and to recoup joint-angle trajectories of lower limbs, called dynamic data of gait. Both static and dynamic signs are separately utilized for recognition utilizing the nearest exemplar classifier. They are likewise viably melded on choice level utilizing extraordinary blend rules to improve the exhibition of both distinguishing proof and confirmation. Test results on a dataset including 20 subjects show the validity of the proposed algorithm.

Body Biometrics, Dynamic, Fusion, Gait recognition, Static.

"Gait Recognition Using Fusion of Static and Dynamic Body Biometrics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.376-381, January-2019, Available :http://www.jetir.org/papers/JETIREY06079.pdf

"Gait Recognition Using Fusion of Static and Dynamic Body Biometrics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp376-381, January-2019, Available at : http://www.jetir.org/papers/JETIREY06079.pdf