光学技术, 2017, 43 (4): 374, 网络出版: 2017-08-09  

基于空-频域特征和线性判别分析的视频步态识别

Video human gait recognition based on space-frequency domain features and linear discriminant analysis
作者单位
北京理工大学 信息与电子学院, 北京 100081
引用该论文

范哲意, 蒋姣, 曾亚军, 翁澍沁, 刘志文. 基于空-频域特征和线性判别分析的视频步态识别[J]. 光学技术, 2017, 43(4): 374.

FAN Zheyi, JIANG Jiao, ZENG Yajun, WENG Shuqin, LIU Zhiwen. Video human gait recognition based on space-frequency domain features and linear discriminant analysis[J]. Optical Technique, 2017, 43(4): 374.

参考文献

[1] GOFFREDO M, BOUCHRIKA I, CARTER J N, et al. Self-calibrating view-invariant gait biometrics[J]. IEEE Transactions on Systems, Man, and Cybernetics, 2010, 40(4): 997-1008.

[2] ARIYANTO G, NIXON M S. Marionette mass spring model for 3D gait biometrics[C]∥ IEEE 2012 5th IAPR International Conference on Biometrics, 2012: 354-359.

[3] ZHANG Y, WU X, RUAN Q. Model-based gait representation via spatial point reconstruction[J]. Journal of Shanghai Jiaotong University (Science), 2009, 14: 293-298.

[4] CUNADO D, NIXON M, CARTER J. Using gait as a biometric, via phase –weighter magnitude spectra [C]∥International Conference on Audio and Video-based Biometric Person Authenticetion, 1997: 93-102.

[5] LEE L, GRIMSON W E. Gait analysis for recognition and classification[C]∥5th IEEE International Conference on Automatic Face and Gesture Recognition, Washington DC, USA, 2002:155-162.

[6] LAM T H W, CHEUNG K H, LIU J N. Gait flow image: A silhouette based gait representation for human identification[J]. Pattern recognition, 2011, 44(4): 973-987.

[7] XU D, HUANG Y, ZENG Z, et al. Human gait recognition using patch distribution feature and locality constrained group sparse representation [J]. IEEE Transactions on Image Processing, 2012, 21(1): 316-326.

[8] MURAMATSU D, SHIRAISHI A, MAKIHARA Y, et al. Gait-based person recognition using arbitrary view transformation model[J]. IEEE Transactions on Image Processing, 2015, 24(1): 140-154.

[9] HAN J, BHANU B. Individual recognition using gait energy image[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(2): 316-22.

[10] ALI H, DARGHAM J, ALI C, et al. Gait recognition using gait energy image[J]. International Journal of Signal Processing, Image Processing and Pattern Recognition, 2011, 4(3): 141-152.

[11] HOSSEINI N K, NORDIN M J. Human gait recognition: a silhouette based approach[J]. Journal of Automation and Control Engineering, 2013, 1(2): 259-267.

[12] YAACOB N I, TAHIR N M. Feature selection for gait recognition[C]∥2012 IEEE Symposium on Humantities, Science and Engineering Research, 2012: 379-383.

[13] MOHAN K H P, NAGENDRASWAMY S. LBP for gait recognition: a symbolic approach based on GEI plus RBL of GEI[C]∥IEEE International Conference on Electronics and Communication Systems, 2014: 1-5.

[14] SIVAPALAN S, CHEN D, DENMAN S, et al. Histogram of weighted local directions for gait recognition[C]∥IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2013: 125-130.

[15] JIA J R, RUAN Q Q. Gait recognition based on Contourlet Transform and Collaborative Representation[C]∥IEEE 12th International Conference on Signal Processing, 2014: 952-957.

[16] CHOUDHURY S D, TJAHJADI T. Robust view invariant multiscale gait recognition[J]. Pattern Recognition, 2015, 48(3): 798-811.

[17] AHMED T, NATARAJAN N, RAO K R. On image processing and a cosine transform[J]. IEEE Transactions on Computers, 1974, C-23(1): 90-93.

[18] DO M N, VETTERLI M. The contourlet transform: an efficient directional multiresolution image representation[J]. IEEE Transactions on Image Processing, 2005, 14(12):2091-2016.

[19] FUKUNAGA K. Introduction to statistical pattern recognition[J]. Academic Press, 1972, 60(12-1): 2133-2143.

范哲意, 蒋姣, 曾亚军, 翁澍沁, 刘志文. 基于空-频域特征和线性判别分析的视频步态识别[J]. 光学技术, 2017, 43(4): 374. FAN Zheyi, JIANG Jiao, ZENG Yajun, WENG Shuqin, LIU Zhiwen. Video human gait recognition based on space-frequency domain features and linear discriminant analysis[J]. Optical Technique, 2017, 43(4): 374.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!