Research on Moving Target Behavior Recognition Method Based on Deep Convolutional Neural Network

Author:

Liu Jian-fang,Zheng Hao,Peng He

Publisher

Springer International Publishing

Reference13 articles.

1. Liu, Z., Huang, J., Feng, X.: Constructing behavior recognition model of multiscale depth convolution neural network. Opt. Precis. Eng. 25(3), 799–805 (2017)

2. Tang, Z., Zhang, K., Li, C., et al.: Motion imagination classification based on deep convolution neural network and its application in brain-controlled exoskeleton. J. Comput. Sci. 40(6), 1367–1378 (2017)

3. Zhou, T., Xu, Y., Zheng, W.: Classification and recognition of tomato main organs based on deep convolution neural network. J. Agri. Eng. 33(15), 219–226 (2017)

4. Li, C., Qin, P., Zhang, J.: Research on image denoising based on deep convolution neural network. Comput. Eng. 43(3), 253–260 (2017)

5. Wang, Z., Min, H., Zhu, Q.: Optical flow detection of moving objects based on deep convolution neural network. Optoelectron. Eng. 45(8), 1–9 (2018)

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