Research on gesture segmentation method based on FCN combined with CBAM-ResNet50-Reference-Cited by-同舟云学术

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Research on gesture segmentation method based on FCN combined with CBAM-ResNet50

Published:2024-07-12 Issue:11 Volume:18 Page:7729-7740
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Zhao Hongtu,Liang Menghua,Li Hao

Funder

Science and Technology Tackling and Soft Science Projects of Henan Provincial Science and Technology Department

Special Funds for Basic Research Operating Expenses of Universities in Henan Province, China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11760-024-03423-7.pdf

Reference28 articles.

1. Gong, H., Liu, T., Luo, T., Guo, J., Feng, R., Li, J., Ma, X., Mu, Y., Hu, T., Sun, Y., et al.: Based on FCN and DenseNet Framework for the research of Rice Pest Identification methods. Agronomy. 13(2), 410 (2023). https://doi.org/10.3390/agronomy13020410

2. Nagi, J., Ducatelle, F., Caro, G. a, et al.: D,. Max-pooling convolutional neural networks for vision-based hand gesture recognition[C]. IEEE International Conference on Signal and Image Processing Applications (ICSIPA). 2011. 342–347. (2011)

3. Simion, G., Gui, V., Otesteanu, M.: Finger detection based on hand contour and colour information [C]. 2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI). 97–100. (2011)

4. Stenger, B., Thayananthan, A., Torr, P.H.S., et al.: Hand pose Estimation Using Hierarchical Detection [C]. Computer Vision in Human-Computer Interaction: ECCV 2004 Workshop on HCI, pp. 105–116. Springer, Berlin Heidelberg (2004)

5. Li, C., Kitani, K.M.: Pixel-level hand detection in ego-centric videos [C]. 2013 IEEE Conference on Computer Vision and Pattern Recognition. 3570–3577. (2013)

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