Periodic Action Temporal Localization Method Based on Two-Path Architecture for Product Counting in Sewing Video-Reference-Cited by-同舟云学术

Periodic Action Temporal Localization Method Based on Two-Path Architecture for Product Counting in Sewing Video

Published:2019 Issue: Volume: Page:568-580
ISSN:0302-9743
Container-title:Intelligent Computing Methodologies
language:
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Author:

Huang Jin-Long,Zhang Hong-Bo,Du Ji-Xiang,Zheng Jian-Feng,Peng Xiao-Xiao

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-26766-7_52

Reference29 articles.

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3. Singh, G., Cuzzolin, F.: Untrimmed video classification for activity detection: submission to activitynet challenge, 1 July 2016. https://arxiv.org/abs/1607.01979

4. Feichtenhofer, C., Pinz, A., Zisserman, A.: Convolutional two-stream network fusion for video action recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1933–1941 (2016)

5. Shou, Z., Wang, D., Chang, S.F.: Temporal action localization in untrimmed videos via multi-stage CNNs. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1049–1058 (2016)

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