1. Andrie, R., Basuki, A., & Arai, K. (2011). A review of Chinese Academy of Sciences (CASIA) gait database as a human gait recognition dataset.
2. A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition;Arshad;Expert Systems with Applications,2020
3. Coupled patch alignment for matching cross-view gaits;Ben;IEEE Transactions on Image Processing,2019
4. Chai, T., Li, A., Zhang, S., Li, Z., & Wang, Y. (2022). Lagrange Motion Analysis and View Embeddings for Improved Gait Recognition. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 20249-20258.
5. Why protect nature? Rethinking values and the environment;Chan;Proceedings of the national academy of sciences,2016