• Jitesh Kumar

Gait Recognition has as of late increased critical consideration from computer vision researchers. This intrigue is unequivocally roused by the requirement for robotized individual recognizable proof frameworks at a distance in visual surveillance and observing applications. This paper means to propose a basic and proficient automatic gait recognition algorithm utilizing factual shape investigation. For each image grouping, an improved background subtraction system is utilized to extricate moving silhouettes of the walking figure from the background. Temporal changes of the identified silhouettes are then spoken to as a related arrangement of complex vector setups in a typical arrange silhouette, and are additionally investigated utilizing the Procrustes shape analysis technique to acquire mean shape as gait signature. Regulated example grouping procedures based on the full Procrustes distance measure are embraced for recognition. This strategy doesn't straightforwardly examine the elements of gait, however verifiably utilizes the activity of walking to catch the basic qualities of walk, particularly the shape signals of body biometrics. The algorithm is tried on a database comprising of 240 arrangements from 20 unique subjects walking at 3 survey points in an outside situation. Experimental results are incorporated to exhibit the empowering execution of the proposed algorithm.

Biometrics, Gait Recognition, Statistical shape analysis, Visual surveillance.

"Automated Gait Recognition Using Statistical Shape Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.382-387, January-2019, Available :http://www.jetir.org/papers/JETIREY06080.pdf

"Automated Gait Recognition Using Statistical Shape Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp382-387, January-2019, Available at : http://www.jetir.org/papers/JETIREY06080.pdf