Comparison of Machine Learning Algorithms to Recognize Human Activities from Images and Videos Using Pose Estimation and Feature Extraction-Reference-Cited by-同舟云学术

Comparison of Machine Learning Algorithms to Recognize Human Activities from Images and Videos Using Pose Estimation and Feature Extraction

Published:2020-10-31 Issue: Volume: Page:78-87
ISSN:2194-5357
Container-title:Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1
language:
Short-container-title:

Author:

Huq Md Hasibul,Alnakli Mohammed,Jafrin Zakiya,Jenia Tanjima Nasreen

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-63128-4_7

Reference9 articles.

1. Amato, G., Falchi, F.: KNN based image classification relying on local feature similarity. In: Proceedings of the 3rd International Conference on SImilarity Search and Applications, SISAP 2010, pp. 101–108. ACM Press, New York, USA (2010). https://doi.org/10.1145/1862344.1862360, http://portal.acm.org/citation.cfm?doid=1862344.1862360

2. Andriluka, M., Pishchulin, L., Gehler, P., Schiele, B.: 2D human pose estimation: new benchmark and state of the art analysis. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2014)

3. Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001). https://doi.org/10.1023/A:1010933404324

4. Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.: Realtime multi-person 2D pose estimation using part affinity fields. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)

5. Li, H., Xu, Z., Taylor, G., Studer, C., Goldstein, T.: Visualizing the loss landscape of neural nets. In: Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N., Garnett, R. (eds.) Advances in Neural Information Processing Systems, vol. 31, pp. 6389–6399. Curran Associates, Inc. (2018), http://papers.nips.cc/paper/7875-visualizing-the-loss-landscape-of-neural-nets.pdf