Frame difference history image for gait recognition

Chun Chieh Lee*, Chi Hung Chuang, Jun-Wei Hsieh, Ming Xuan Wu, Kuo Chin Fan

*Corresponding author for this work

研究成果: Conference contribution

14 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Proceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011
頁面1785-1788
頁數4
DOIs
出版狀態Published - 7 十一月 2011
事件2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011 - Guilin, Guangxi, China
持續時間: 10 七月 201113 七月 2011

出版系列

名字Proceedings - International Conference on Machine Learning and Cybernetics
4
ISSN(列印)2160-133X
ISSN(電子)2160-1348

Conference

Conference2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011
國家China
城市Guilin, Guangxi
期間10/07/1113/07/11

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  • 引用此

    Lee, C. C., Chuang, C. H., Hsieh, J-W., Wu, M. X., & Fan, K. C. (2011). Frame difference history image for gait recognition. 於 Proceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011 (頁 1785-1788). [6017007] (Proceedings - International Conference on Machine Learning and Cybernetics; 卷 4). https://doi.org/10.1109/ICMLC.2011.6017007