Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article An Efﬁcient Gait Recognition with Backpack Removal | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 384384 7 pages doi 2009 384384 Research Article An Efficient Gait Recognition with Backpack Removal Heesung Lee Sungjun Hong and Euntai Kim Biometrics Engineering Research Center School of Electrical and Electronic Engineering Yonsei University Sinchon-dong Seodaemun-gu Seoul 120-749 South Korea Correspondence should be addressed to Euntai Kim etkim@ Received 12 February 2009 Accepted 12 August 2009 Recommended by Moon Kang Gait-based human identification is a paradigm to recognize individuals using visual cues that characterize their walking motion. An important requirement for successful gait recognition is robustness to variations including different lighting conditions poses and walking speed. Deformation of the gait silhouette caused by objects carried by subjects also has a significant effect on the performance of gait recognition systems a backpack is the most common of these objects. This paper proposes methods for eliminating the effect of a carried backpack for efficient gait recognition. We apply simple recursive principal component analysis PCA reconstructions and error compensation to remove the backpack from the gait representation and then conduct gait recognition. Experiments performed with the CASIA database illustrate the performance of the proposed algorithm. Copyright 2009 Heesung Lee et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction Gait recognition is the identification of individuals based on their walking style 1 . The theoretic foundation of gait recognition is the uniqueness of each person s gait as revealed by Murray et al. in 1964 2 . Gait analysis has the advantage of being noninvasive and noncontact. Gait is also less likely to be .