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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44053

Title: Frame difference history image for gait recognition
Authors: Chun-Chieh Lee
Chi-Hung Chuang
Jun-Wei Hsieh
Ming-Xuan Wu
Kuo-Chin Fan
Contributors: 國立臺灣海洋大學:資訊工程學系
NTOU:Department of Computer Science and Engineering
Keywords: Gait recognition
Video Surveillance
PCA/LDA
Date: 2011-07
Issue Date: 2017-11-13T07:35:32Z
Publisher: International Conference on Machine Learning and Cybernetics
Abstract: Abstract:In this paper, we propose a simple but effective human identification method based on gait features using frame difference history image (FDHI). Before constructing the FDHI feature, a sequence-based silhouette normalization scheme and an alignment pre-processing step are applied. After that, a post-processing step is devised for getting more representative gait signatures for human identification. Two types of FDHI templates are then extracted and represented more compactly by a dimensionality reduction technique, i.e., Principal Component Analysis (PCA) followed by Linear Discriminant Analysis (LDA). The transformed feature vectors are then respectively classified by individual K-Nearest Neighbor (KNN) classifiers. Lastly, the final classification decision is made by a fusion technique. Experimental results are provided to prove the superiority of the proposed method.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44053
Appears in Collections:[資訊工程學系] 演講及研討會

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