Volume 4, Issue 1, June 2017, Pages 77 - 80
A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot
Authors
Huailin Zhao, Shunzhou Wang, Shifang Xu, Yani Zhang, Masanori Sugisaka
Corresponding Author
Huailin Zhao
Available Online 1 June 2017.
- DOI
- 10.2991/jrnal.2017.4.1.17How to use a DOI?
- Keywords
- Intelligent Surveillance, Gaussian Process Regression, Air Patrol Robot
- Abstract
When the ground or air patrol robot monitors a certain area, one of the important intelligent functions is to monitoring and alerting unusual event of the monitored area. This paper proposes a method via the number of people in the monitored area to detect the environment is safety or not. We use mature methods to formulate the counting problem and the number of people in each frame can be calculated with Gaussian Process Regression model. We suppose that this application may provides an important technical support for enhancing the patrol robot monitoring effect.
- Copyright
- © 2013, 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 - JOUR AU - Huailin Zhao AU - Shunzhou Wang AU - Shifang Xu AU - Yani Zhang AU - Masanori Sugisaka PY - 2017 DA - 2017/06/01 TI - A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot JO - Journal of Robotics, Networking and Artificial Life SP - 77 EP - 80 VL - 4 IS - 1 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2017.4.1.17 DO - 10.2991/jrnal.2017.4.1.17 ID - Zhao2017 ER -