Extraction and Classification of Human Gait Features

Ng, Hu and Tan, Wooi-Haw and Tong, Hau-Lee and Junaidi, Abdullah and Ryoichi, Kom (2009) Extraction and Classification of Human Gait Features. In: Visual Informatics: Bridging Research and Practice. Lecture Notes in Computer Science (5857). Springer Berlin Heidelberg, pp. 596-606. ISBN Print ISBN: 978-3-642-05035-0, Online ISBN: 978-3-642-05036-7

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Abstract

In this paper, a new approach is proposed for extracting human gait features from a walking human based on the silhouette images. The approach consists of six stages: clearing the background noise of image by morphological opening; measuring of the width and height of the human silhouette; dividing the enhanced human silhouette into six body segments based on anatomical knowledge; applying morphological skeleton to obtain the body skeleton; applying Hough transform to obtain the joint angles from the body segment skeletons; and measuring the distance between the bottom of right leg and left leg from the body segment skeletons. The angles of joints, step-size together with the height and width of the human silhouette are collected and used for gait analysis. The experimental results have demonstrated that the proposed system is feasible and achieved satisfactory results.

Item Type: Book Section
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 11 Nov 2013 02:30
Last Modified: 11 Nov 2013 02:30
URI: http://shdl.mmu.edu.my/id/eprint/4379

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