Novel CNN Architecture for Human Action Recognition
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-15-8221-9_217
Reference21 articles.
1. Ullah A, Ahmad J, Muhammad K, Sajjad M, Baik SW (2018) Action recognition in video sequences using deep bi-directional LSTM with CNN. Special section on visual surveillance and biometrics: practices, challenges, and possibilities
2. Jiang B, Wang MM, Gan W (2019) STM: Spatio temporal and motion encoding for action recognition. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp 2000–2009
3. Shao L, Zhen XT, Tao DC, Li XL (2014) Spatio-temporal laplacian pyramid coding for action recognition. IEEE Trans Cybern 44:817–827
4. Schuldt C, Laptev I, Caputo B (2004) Recognizing human actions: a local SVM approach. In: International conference on pattern recognition, ICPR 2004
5. Nguyen TV, Song Z, Yan SC (2015) STAP: spatial-temporal attention-aware pooling for action recognition. IEEE Trans Circ Syst Video Technol 25:77–86
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