Crowd monitoring based on Face Orientation Estimation
Xiaodong Wang, Hong Xiao, Rongxiao Guo, Jie Cui
Available Online November 2016.
- 10.2991/aiea-16.2016.93How to use a DOI?
- Crowd Monitoring; Event; FOE; Overlap; Decay.
Aim to the different needs, crowd monitoring and control is regarded to the key of modern surveillance. But, existing methods are still not good enough to be used on the large-scale spot, for the reasons of effect and efficiency. In fact, witnesses, who stay on the spot, practically act as "smart" sensors to the incidents. Thus, to detect their responds to events are effective to surveillance. Among all kinds of human actions, face orientation is easy to be detected; meanwhile it also implies plenty of immediacy with respect to the event. This paper presents a method of crowd monitoring based on face orientation estimation. According to preliminary experiment, it is proved valid and feasible.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiaodong Wang AU - Hong Xiao AU - Rongxiao Guo AU - Jie Cui PY - 2016/11 DA - 2016/11 TI - Crowd monitoring based on Face Orientation Estimation BT - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications PB - Atlantis Press SP - 521 EP - 525 SN - 2352-538X UR - https://doi.org/10.2991/aiea-16.2016.93 DO - 10.2991/aiea-16.2016.93 ID - Wang2016/11 ER -