1. Bouchrika, I., Carter, J.N., Nixon, M.S.: Towards automated visual surveillance using gait for identity recognition and tracking across multiple non-intersecting cameras. Multimedia Tools Appl. 75(2), 1201–1221 (2016)
2. Liu, N., Lu, J., Tan, Y.P.: Joint subspace learning for view-invariant gait recognition. IEEE Signal Process. Lett. 18(7), 431–434 (2011)
3. Bashir, K., Xiang, T., Cross, G.S.: Correlation, view gait recognition using, strength. In: Proceedings of the DBLP British Machine Vision Conference, BMVC: Aberystwyth, UK, August 31 - September 3, 2010, pp. 1–11 (2010)
4. Zhao, G., Liu, G., Li, H., et al.: 3D gait recognition using multiple cameras. In: International Conference on Automatic Face and Gesture Recognition, pp. 529–534. IEEE Computer Society (2006)
5. Wu, Z., Huang, Y., Wang, L., et al.: A comprehensive study on cross-view gait based human identification with deep CNNs. IEEE Trans. Pattern Anal. Mach. Intell. 39(2), 209–226 (2016)