Author:
Mahajan Nitish,Chauhan Amita,Kumar Harish,Kaushal Sakshi,Singh Sarbjeet
Publisher
Springer Nature Singapore
Reference33 articles.
1. Soomro, K., Zamir, A.R., Shah, M.: Ucf101: a dataset of 101 human actions classes from videos in the wild. arXiv preprint arXiv:1212.0402 (2012)
2. Azkune, G., Almeida, A., Lopez-de Ipi ´ na, D., Chen, L.: Combining users’ activity survey and simulators to evaluate human activity recognition systems. Sensors 15(4), 8192–8213 (2015)
3. Shahroudy, A., Liu, J., Ng, T.-T., Wang, G.: Ntu rgb+ d: a large scale dataset for 3d human activity analysis. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1010–1019 (2016)
4. Barekatain, M., Mart´ı, M., Shih, H.-F., Murray, S., Nakayama, K., Matsuo, Y., Prendinger, H.: Okutama-action: an aerial view video dataset for concurrent human action detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 28–35 (2017)
5. Wang, H.-Y., Chang, Y.-C., Hsieh, Y.-Y., Chen, H.-T., Chuang, J.-H.: Deep learning-based human activity analysis for aerial images. In: 2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), pp. 713–718. IEEE (2017)