Human Activity Recognition in Videos Using Deep Learning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-27609-5_23
Reference28 articles.
1. Ahmad, Z., Illanko, K., Khan, N., Androutsos, D.: Human action recognition using convolutional neural network and depth sensor data. In: Proceedings of the 2019 International Conference on Information Technology and Computer Communications, pp. 1–5 (2019)
2. Avilés-Cruz, C., Ferreyra-Ramírez, A., Zúñiga-López, A., Villegas-Cortéz, J.: Coarse-fine convolutional deep-learning strategy for human activity recognition. Sensors 19(7), 1556 (2019)
3. Banjarey, K., Sahu, S.P., Dewangan, D.K.: A survey on human activity recognition using sensors and deep learning methods. In: 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), pp. 1610–1617. IEEE (2021)
4. Choutas, V., Weinzaepfel, P., Revaud, J., Schmid, C.: Potion: Pose motion representation for action recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 7024–7033 (2018)
5. Lecture Notes in Computer Science;Srijan Das,2019
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