Please use this identifier to cite or link to this item: http://dlib.scu.ac.ir/handle/Hannan/309963
Title: Improved gait recognition by gait dynamics normalization
Authors: Kusakunniran, Worapan;Wu, Qiang;Zhang, Jian Junping;Ma, Yi;Li, Hongdong;Hu, Haifeng;Xu, Dong;Huang, Yi;Zeng, Zinan;Xu, Xinxing;Wang, Chen;Zhang, Jian Junping;Wang, Liang;Pu, Jian;Yuan, Xiaoru;Roy, Aditi;Sural, Shamik;Mukherjee, Jayanta;Kusakunniran, Worapan;Wu, Qiang;Zhang, Jian Junping;Li, Hongdong;Liu, Nini;Lu, Jiwen;Tan, Yap Peng;Su, Han;Chen, Guo Yue;Moustakas, Konstantinos;Tzovaras, Dimitrios;Stavropoulos, Georgios;Liu, Haitao;Cao, Yang;Wang, Zengfu;Goffredo, Michela;Bouchrika, Imed;Carter, John N;Nixon, Mark S;Zhang, Hao Zhang Hao;Liu, Zongyi Zhijing Liu Zhijing;Liu, Haitao;Cao, Yang;Wang, Zengfu;Hong, Sungjun Hong Sungjun;Lee, Heesung Lee Heesung;Kim, Euntai Kim Euntai;Guo, B.; Nixon, M.S.;Tao, Dacheng;Li, Xuelong;Wu, Xindong;Maybank, Stephen J;Boulgouris, Nikolaos V.;Chi, Zhiwei X.;Liu, Zongyi Zhijing Liu Zhijing;Sarkar, Sudeep;Han, Ju;Bhanu, Bir;Wang, Liang;Ning, Huazhong;Tan, Tieniu;Hu, Weiming;Boulgouris, Nikolaos V.;Plataniotis, Kn;Hatzinakos, D;Wang, Liang;Tan, Tieniu;Ning, Huazhong;Hu, Weiming;Liang Wang;Tieniu Tan;Weiming Hu;Huazhong Ning;Lee, L;Grimson, W E L;Huang, P. S.
subject: -biometrics;1d silhouette signal;3d contour;Biometrics;Canonical analysis (CA);Computer vision;Dynamic programming;Extended features;Gait Energy Image;Gait analysis;Gait recognition;Gait shape;Haar wavelet;Human gait analysis;Human gait recognition;Joint-;10.1109/TPAMI.2011.260
Year: 2010
Publisher: Ieee
Abstract: The research of gait independent of view angle has become an urgent problem to be solved for gait recognition. In this paper, we propose a gait recognition method that the subject can walk at an arbitrary angle. The gait is detected through background subtraction technique. The contour is represented by a novel approach which includes not only the spatial body contour but also the temporal information. To prove be independent of view angle, the relationship model of the walking azimuth angle and the reference view has been modeled. We transform the walking angle to the most similar canonical views angle. Three canonical views angles are adopted in this paper. The errors which come from transformation when the walk angle is far from the only canonical view will greatly be reduced. We test our method on multi-views database. The correct classification ratios show that our method is a nice try.
URI: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.18.4991&rep=rep1&type=pdf\nhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1251144\nhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1349641\nhttp://www.ncbi.nlm.nih.gov/pu
http://localhost/handle/Hannan/309963
ISSN: 0162-8828
More Information: VOLUME : 28 ISSUE : 3 START PAGE : 3091 END PAGES : 3096
Appears in Collections:2010

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Title: Improved gait recognition by gait dynamics normalization
Authors: Kusakunniran, Worapan;Wu, Qiang;Zhang, Jian Junping;Ma, Yi;Li, Hongdong;Hu, Haifeng;Xu, Dong;Huang, Yi;Zeng, Zinan;Xu, Xinxing;Wang, Chen;Zhang, Jian Junping;Wang, Liang;Pu, Jian;Yuan, Xiaoru;Roy, Aditi;Sural, Shamik;Mukherjee, Jayanta;Kusakunniran, Worapan;Wu, Qiang;Zhang, Jian Junping;Li, Hongdong;Liu, Nini;Lu, Jiwen;Tan, Yap Peng;Su, Han;Chen, Guo Yue;Moustakas, Konstantinos;Tzovaras, Dimitrios;Stavropoulos, Georgios;Liu, Haitao;Cao, Yang;Wang, Zengfu;Goffredo, Michela;Bouchrika, Imed;Carter, John N;Nixon, Mark S;Zhang, Hao Zhang Hao;Liu, Zongyi Zhijing Liu Zhijing;Liu, Haitao;Cao, Yang;Wang, Zengfu;Hong, Sungjun Hong Sungjun;Lee, Heesung Lee Heesung;Kim, Euntai Kim Euntai;Guo, B.; Nixon, M.S.;Tao, Dacheng;Li, Xuelong;Wu, Xindong;Maybank, Stephen J;Boulgouris, Nikolaos V.;Chi, Zhiwei X.;Liu, Zongyi Zhijing Liu Zhijing;Sarkar, Sudeep;Han, Ju;Bhanu, Bir;Wang, Liang;Ning, Huazhong;Tan, Tieniu;Hu, Weiming;Boulgouris, Nikolaos V.;Plataniotis, Kn;Hatzinakos, D;Wang, Liang;Tan, Tieniu;Ning, Huazhong;Hu, Weiming;Liang Wang;Tieniu Tan;Weiming Hu;Huazhong Ning;Lee, L;Grimson, W E L;Huang, P. S.
subject: -biometrics;1d silhouette signal;3d contour;Biometrics;Canonical analysis (CA);Computer vision;Dynamic programming;Extended features;Gait Energy Image;Gait analysis;Gait recognition;Gait shape;Haar wavelet;Human gait analysis;Human gait recognition;Joint-;10.1109/TPAMI.2011.260
Year: 2010
Publisher: Ieee
Abstract: The research of gait independent of view angle has become an urgent problem to be solved for gait recognition. In this paper, we propose a gait recognition method that the subject can walk at an arbitrary angle. The gait is detected through background subtraction technique. The contour is represented by a novel approach which includes not only the spatial body contour but also the temporal information. To prove be independent of view angle, the relationship model of the walking azimuth angle and the reference view has been modeled. We transform the walking angle to the most similar canonical views angle. Three canonical views angles are adopted in this paper. The errors which come from transformation when the walk angle is far from the only canonical view will greatly be reduced. We test our method on multi-views database. The correct classification ratios show that our method is a nice try.
URI: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.18.4991&rep=rep1&type=pdf\nhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1251144\nhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1349641\nhttp://www.ncbi.nlm.nih.gov/pu
http://localhost/handle/Hannan/309963
ISSN: 0162-8828
More Information: VOLUME : 28 ISSUE : 3 START PAGE : 3091 END PAGES : 3096
Appears in Collections:2010

Files in This Item:
File Description SizeFormat 
AL1736217.pdf324.55 kBAdobe PDFThumbnail
Preview File
Title: Improved gait recognition by gait dynamics normalization
Authors: Kusakunniran, Worapan;Wu, Qiang;Zhang, Jian Junping;Ma, Yi;Li, Hongdong;Hu, Haifeng;Xu, Dong;Huang, Yi;Zeng, Zinan;Xu, Xinxing;Wang, Chen;Zhang, Jian Junping;Wang, Liang;Pu, Jian;Yuan, Xiaoru;Roy, Aditi;Sural, Shamik;Mukherjee, Jayanta;Kusakunniran, Worapan;Wu, Qiang;Zhang, Jian Junping;Li, Hongdong;Liu, Nini;Lu, Jiwen;Tan, Yap Peng;Su, Han;Chen, Guo Yue;Moustakas, Konstantinos;Tzovaras, Dimitrios;Stavropoulos, Georgios;Liu, Haitao;Cao, Yang;Wang, Zengfu;Goffredo, Michela;Bouchrika, Imed;Carter, John N;Nixon, Mark S;Zhang, Hao Zhang Hao;Liu, Zongyi Zhijing Liu Zhijing;Liu, Haitao;Cao, Yang;Wang, Zengfu;Hong, Sungjun Hong Sungjun;Lee, Heesung Lee Heesung;Kim, Euntai Kim Euntai;Guo, B.; Nixon, M.S.;Tao, Dacheng;Li, Xuelong;Wu, Xindong;Maybank, Stephen J;Boulgouris, Nikolaos V.;Chi, Zhiwei X.;Liu, Zongyi Zhijing Liu Zhijing;Sarkar, Sudeep;Han, Ju;Bhanu, Bir;Wang, Liang;Ning, Huazhong;Tan, Tieniu;Hu, Weiming;Boulgouris, Nikolaos V.;Plataniotis, Kn;Hatzinakos, D;Wang, Liang;Tan, Tieniu;Ning, Huazhong;Hu, Weiming;Liang Wang;Tieniu Tan;Weiming Hu;Huazhong Ning;Lee, L;Grimson, W E L;Huang, P. S.
subject: -biometrics;1d silhouette signal;3d contour;Biometrics;Canonical analysis (CA);Computer vision;Dynamic programming;Extended features;Gait Energy Image;Gait analysis;Gait recognition;Gait shape;Haar wavelet;Human gait analysis;Human gait recognition;Joint-;10.1109/TPAMI.2011.260
Year: 2010
Publisher: Ieee
Abstract: The research of gait independent of view angle has become an urgent problem to be solved for gait recognition. In this paper, we propose a gait recognition method that the subject can walk at an arbitrary angle. The gait is detected through background subtraction technique. The contour is represented by a novel approach which includes not only the spatial body contour but also the temporal information. To prove be independent of view angle, the relationship model of the walking azimuth angle and the reference view has been modeled. We transform the walking angle to the most similar canonical views angle. Three canonical views angles are adopted in this paper. The errors which come from transformation when the walk angle is far from the only canonical view will greatly be reduced. We test our method on multi-views database. The correct classification ratios show that our method is a nice try.
URI: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.18.4991&rep=rep1&type=pdf\nhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1251144\nhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1349641\nhttp://www.ncbi.nlm.nih.gov/pu
http://localhost/handle/Hannan/309963
ISSN: 0162-8828
More Information: VOLUME : 28 ISSUE : 3 START PAGE : 3091 END PAGES : 3096
Appears in Collections:2010

Files in This Item:
File Description SizeFormat 
AL1736217.pdf324.55 kBAdobe PDFThumbnail
Preview File