Deep Capsule Network Design Method for Gait Recognition
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5594-3_6
Reference21 articles.
1. Wang, L., Tan, T., Ning, H., Hu, W.: Silhouette analysis-based gait recognition for human identification. IEEE Trans. Pattern Anal. Mach. Intell. 25(12), 1505–1518 (2003)
2. Makihara, Y., Sagawa, R., Mukaigawa, Y., Echigo, T., Yagi, Y.: Gait recognition using a view transformation model in the frequency domain. In: European Conference on Computer Vision (ECCV), pp. 151–163 (2006)
3. Rida, I., Jiang, X., Marcialis, G.L.: Human body part selection by group lasso of motion for model-free gait recognition. IEEE Signal Process. Letters (2015)
4. Rida, I., Boubchir, L., Al-Maadeed, N., Al-Maadeed, S., Bouridane, A.: Robust model-free gait recognition by statistical dependency feature selection and globality-locality preserving projections. In: International Conference on Telecommunications and Signal Processing (2016)
5. Liao, R., Yu, S., An, W., Huang, Y.: A model-based gait recognition method with body pose and human prior knowledge. Pattern Recogn. 98, 1–11 (2020)
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