A journal of IEEE and CAA , publishes
high-quality papers in English on original
theoretical/experimental research
and development in all areas of automation
Volume 11
Issue 6
IEEE/CAA Journal of Automatica Sinica
| Citation: | M. Deng and C. Wang, “Gait recognition under different clothing conditions via deterministic learning,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 6, pp. 1530–1532, Jun. 2024. doi: 10.1109/JAS.2018.7511096
|
| [1] |
X. Ben, P. Zhang, W. Meng, R. Yan, M. Yang, W. Liu, and H. Zhang, “On the distance metric learning between cross-domain gaits,” Neurocomputing, vol. 208, pp. 153–164, 2016. doi: 10.1016/j.neucom.2016.01.098
|
| [2] |
S. D. Choudhury and T. Tjahjadi, “Clothing and carrying condition invariant gait recognition based on rotation forest,” Pattern Recognition Letters, vol. 80, pp. 1–7, 2016. doi: 10.1016/j.patrec.2016.05.009
|
| [3] |
A. Nandy, R. Chakraborty, and P. Chakraborty, “Cloth invariant gait recognition using pooled segmented statistical features,” Neurocompu ting, vol. 191, pp. 117–140, 2016. doi: 10.1016/j.neucom.2016.01.002
|
| [4] |
M. Deng, C. Wang, and Q. Chen, “Human gait recognition based on deterministic learning through multiple views fusion,” Pattern Recogni. Lett., vol. 78, pp. 56–63, 2016. doi: 10.1016/j.patrec.2016.04.004
|
| [5] |
W. Zeng and C. Wang, “View-invariant gait recognition via deterministic learning,” Neurocomputing, vol. 175, pp. 324–335, 2016. doi: 10.1016/j.neucom.2015.10.065
|
| [6] |
C. Wang and D. J. Hill Deterministic Learning Theory for Identification, Recognition, and Control. Boca Raton, USA: CRC Press, 2009.
|
| [7] |
Y. Makihara, H. Mannami, A. Tsuji, M. A. Hossain, and K. Sugiura, “The OU-ISIR gait database comprising the treadmill dataset,” IPSJ Trans. Computer Vision and Applications, vol. 4, pp. 53–62, 2012. doi: 10.2197/ipsjtcva.4.53
|
| [8] |
M. Hofmann, J. Geiger, S. Bachmann, B. Schuller, and G. Rigoll, “The TUM gait from audio, image and depth (GAID) database: Multimodal recognition of subjects and traits,” J. Visual Communi. and Image Representation, vol. 25, no. 1, pp. 195–206, 2014. doi: 10.1016/j.jvcir.2013.02.006
|
| [9] |
S. Yu, D. Tan, and T. Tan, “A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition,” in Proc. Int. Conf. Pattern Recognition, 2006, pp. 441–444.
|
Figures(2)
DownLoad:
