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CART-Gait: Cross Angle Refined Training of Cross-View Gait Recognition Conference paper
Liu, Yuxin, Chen, Jinyan, Gao, Zheyan, Li, Shitian. CART-Gait: Cross Angle Refined Training of Cross-View Gait Recognition[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Liu, Yuxin;  Chen, Jinyan;  Gao, Zheyan;  Li, Shitian
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Gait Recognition  Graph Convolutional Neural Network  Metric Learning  
Flexible Gait Recognition Based on Flow Regulation of Local Features between Key Frames Journal article
Huang,Guoheng, Lu,Zeng, Pun,Chi Man, Cheng,Lianglun. Flexible Gait Recognition Based on Flow Regulation of Local Features between Key Frames[J]. IEEE Access, 2020, 8, 75381-75392.
Authors:  Huang,Guoheng;  Lu,Zeng;  Pun,Chi Man;  Cheng,Lianglun
Favorite | TC[WOS]:15 TC[Scopus]:16  IF:3.4/3.7 | Submit date：2021/03/11
Attention Mechanism  Gait Recognition  Key Frame Extraction  Local Features Flow Regulation  
Accelerometer-Based Gait Recognition by Sparse Representation of Signature Points with Clusters Journal article
Zhang Y., Pan G., Jia K., Lu M., Wang Y., Wu Z.. Accelerometer-Based Gait Recognition by Sparse Representation of Signature Points with Clusters[J]. IEEE Transactions on Cybernetics, 2015, 45(9), 1864.
Authors:  Zhang Y.;  Pan G.;  Jia K.;  Lu M.;  Wang Y.; et al.
Favorite | TC[WOS]:141 TC[Scopus]:170 | Submit date：2018/10/30
Accelerometers  Biometrics  Gait Dataset  Gait Recognition  Signature Points (Sps)  Sparse Representation