Video-based social behavior recognition based on kernel relevance analysis

Author:

Fernández-Ramírez J.ORCID,Álvarez-Meza A.,Pereira E. M.,Orozco-Gutiérrez A.,Castellanos-Dominguez G.

Funder

Departamento Administrativo de Ciencia, Tecnología e Innovación

Universidad Tecnológica de Pereira

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference40 articles.

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2. Ai, S., Lu, T., Xiong, Y.: Improved dense trajectories for action recognition based on random projection and fisher vectors. In: Proceedings of the MIPPR, vol. 10609, pp. 337–344. SPIE (2017)

3. Álvarez-Meza, A., Cárdenas-Peña, D., Castellanos-Domínguez, G.: Unsupervised Kernel Function Building Using Maximization of Information Potential Variability, pp. 335–342. Springer, Berlin (2014)

4. Álvarez-Meza, A., Orozco-Gutierrez, A., Castellanos-Dominguez, G.: Kernel-based relevance analysis with enhanced interpretability for detection of brain activity patterns. Front. Neurosci. 11, 550 (2017)

5. Baccouche, M., Mamalet, F., Wolf, C., Garcia, C., Baskurt, A.: Sequential Deep Learning for Human Action Recognition. LNCS, vol. 7065, pp. 29–39. Springer, Berlin (2011)

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