Study and Analysis of Human Gait to Recognize the Person
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Proposals / Synopsis | Computer Science & Engineering | India | Volume 2 Issue 5, May 2013

Study and Analysis of Human Gait to Recognize the Person

Huma Khan, Yogesh Rathore

GAIT is a way of moving on foot. Identification of an individual by the manner of walk is called Gait Recognition. Gait has some properties which make it so attractive like it is unobtrusive biometric, which offers identification of person at a distance, no interaction is required from the subject. This present work proposed a method for Gait recognition. In this method firstly frames has been created from video sequences of walking persons. Secondly background subtraction, silhouette creation and feature extraction is done using image processing operations. This present work uses key features centre of gravity, length of step size, mean intensity, perimeter, diameter, width, height and centroid. Here all experiments are done on CASIA Gait database [10] and captured video sequences using digital camera. For the implementation of biometric technology with Gait analysis has caught attention in all over the world. There are many advantages like low quality data analysis, identification

Keywords: identification, Artificial Neural Network ANN, Soft Computing, Gait Recognition System GRS, Centre of

Edition: Volume 2 Issue 5, May 2013

Pages: 151 - 154

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How to Cite this Article?

Huma Khan, Yogesh Rathore, "Study and Analysis of Human Gait to Recognize the Person ", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=IJSRON20131012, Volume 2 Issue 5, May 2013, 151 - 154

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Research Proposals / Synopsis, Computer Science & Engineering, India, Volume 2 Issue 5, May 2013

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Study and Analysis of Human Gait to Recognize the Person

Huma Khan, Yogesh Rathore

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