A NOVEL TECHNIQUE TO IDENTIFY HUMANS FROM GAIT SEQUENCES WITH ARBITRARY WALKING DIRECTIONS

Volume: 2    Issue: 5

Year of Publication: 2015

Pages: (1-6)

Authors: Manjeet Singh, Er. Sukhpreet kaur

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Abstract

Gait recognition is a biometric technology that identifies people without their cooperation. Gait displays particular aspects of walking on foot. Similarly, gait recognition investigates humans by the ways in which they walk. This paper investigates the problem of identification of humans and recognition of gender from gait sequences with arbitrary walking directions. In this research, first step is extraction of foreground objects i.e. human and other moving objects from input video sequences or binary silhouette of a source is detected from each frame and human detection and tracking is performed. After getting binary silhouettes of human beings model based approach is used to extract the gait features of a person. At last CAWGR technique is used for training and testing purpose. Here all experiments are done on gait database and input video.

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Keywords

GAIT recognition, Human identification, Gender Recognition, C-AGI, CAWGR.