Activity Monitoring Made Easier by Smart 360-degree Cameras

Author:

Lo Presti LilianaORCID,Mazzola GiuseppeORCID,La Cascia MarcoORCID

Publisher

Springer Nature Switzerland

Reference22 articles.

1. Aggarwal, J.K., Ryoo, M.S.: Human activity analysis: a review. ACM Comput. Surv. (CSUR) 43(3), 1–43 (2011)

2. Beddiar, D.R., Nini, B., Sabokrou, M., Hadid, A.: Vision-based human activity recognition: a survey. Multimedia Tools Appl. 79(41), 30509–30555 (2020)

3. Bewley, A., Ge, Z., Ott, L., Ramos, F., Upcroft, B.: Simple online and realtime tracking. In: 2016 IEEE International Conference on Image Processing (ICIP), pp. 3464–3468. IEEE (2016)

4. Bochkovskiy, A., Wang, C.Y., Liao, H.Y.M.: Yolov4: optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934 (2020)

5. Boult, T., et al.: Applications of omnidirectional imaging: multi-body tracking and remote reality. In: Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV 1998 (Cat. No. 98EX201), pp. 242–243. IEEE (1998)

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