Gait Components and Their Application to Gender Recognition
By Xuelong Li, S. Maybank, Shuicheng Yan, Dacheng Tao, Dong Xu. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), 2008
318 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/059c807aab1aa08a045f6a78915db1f4bc84fb47
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Xiaogang Wang
- Dacheng Tao
- Tien-Ping Tan
- Yi Yang
- Andrea Vedaldi
- Kaiqi Huang
- Chen Change Loy
In Human-Computer Interaction
- Shiqi Yu
- Tien-Ping Tan
- Maja Pantic
- Alessandro Vinciarelli
- Ricard Borràs
- Àgata Lapedriza
- Kaiqi Huang
- Laura Igual
Citations in the corpus
- What Else Does Your Biometric Data Reveal? A Survey on Soft Biometrics (2016, methodology): “[144] (2008) 7 WASS Euclidean distance to WASS-templates CASIA Gait DB (31M, 31F) 93.”
- A Study on Gait-Based Gender Classification (2009, methodology): “We choose the linear kernel in our experiments as in [3].”
- Social signal processing: Survey of an emerging domain (2009, background): “Like in the case of gestures, machine recognition of walking style (or gait) has been investigated as well, but only for purposes different from SSP, namely recognition and identification in biometric applications [100][102][206].”
- Depth Information in Human Gait Analysis: An Experimental Study on Gender Recognition (2012, methodology): “We can find in the literature several approaches for gait classification [3,5,15,6,9].”