Human Action Recognition using Bio-inspired Visual Motion Estimation
Author:
Affiliation:
1. Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia
Publisher
ACM Press
Reference19 articles.
1. Medathati, N. V. K., Neumann, H., and Masson, G. 2015. "Bio-Inspired Computer Vision: Setting the Basis for a New Departure,", INRIA Research Report 8698.
2. Laptev, I. and Lindeberg, T. 2003. "Space-time interest points," in Proc. IEEE Intern. Conf. Comput. Vision, 2003, pp. 432--439.
3. Miao, J., Xu, X., Qiu, S., and Qing, C. 2015. "Temporal Variance Analysis for Action Recognition," vol. 24, no. 12, IEEE Trans Image Processing, pp. 5904--5915.
4. Poppe, R. 2010. "A survey on vision-based human action recognition," Image Vis. Comput., no. 28, pp. 976--990,.
5. Zhang, Z., and Tao, D. 2012. "Slow feature analysis for human action recognition," IEEE Trans. Pattern Anal. Mach. Intell., no. 34, pp. 436--450.
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