Extraction of human gait features from enhanced human silhouette images

Ng, Hu and Tan, Wooi-Haw and Komiya, R. and Junaidi Abdullah, and Tong, Hau-Lee (2009) Extraction of human gait features from enhanced human silhouette images. In: 2009 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). IEEE, 425 -430. ISBN 978-1-4244-5560-7

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In this paper, a new approach is proposed for extracting human gait features from a walking human based on the silhouette image. The approach consists of five stages: clearing the background noise of image by morphological opening; measuring 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; and applying Hough transform to obtain the joint angles from the body segment skeletons. The joint angles together with the height and width of the human silhouette are collected and used for gait analysis. From the experiment conducted, it can be observed that the proposed system is feasible as satisfactory results have been achieved.

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: 12 Nov 2013 06:43
Last Modified: 12 Nov 2013 06:43
URI: http://shdl.mmu.edu.my/id/eprint/4393

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