Multi-gait Synthesis Based on Convolutional Neural Networks

Author:

Zhu Futian,Chen Xin,Ji Bingbing,Yang Wenhao,Chen Ruizhe

Publisher

Springer Nature Singapore

Reference28 articles.

1. Song, Y., Zhang, Z., Lin, Z., et al.: ObjectStitch: Generative object compositing (2022). arXiv preprint arXiv:2212.00932

2. Xin, C.: Multi-Gait Recognition and Synthesis. Jinan University (2018)

3. Apostolidis, K., Amanatidis, P., Papakostas, G.: Performance evaluation of convolutional neural networks for gait recognition. In: Proceedings of the 24th Pan-Hellenic Conference on Informatics, pp. 61–63 (2020)

4. Andrie, R., Basuki, A., Arai, K.: A review of Chinese Academy of Sciences (CASIA) gait database as a human gait recognition dataset (2011)

5. Takemura, N., Makihara, Y., Muramatsu, D., et al.: Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition. IPSJ Trans. Comput. Vis. Appl. 10, 1–14 (2018)

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