Video Event Detection and Human Behavior Analysis
Authors
Xiaoqiu Liu
Corresponding Author
Xiaoqiu Liu
Available Online March 2018.
- DOI
- 10.2991/aetr-17.2018.37How to use a DOI?
- Keywords
- Intelligent video; Motion detection; Tracking; Performance evaluation; Video surveillance
- Abstract
Intelligent video surveillance has been developed rapidly and broadly in daily public security and various civil applications. To establish an effective and standard performance evaluation, an appropriate metric is very important. This survey summarizes the state-of-the-art of performance evaluation for intelligent video algorithms, especially focuses on the performance evaluation of motion detection and object tracking. It also highlights the future direction for performance evaluation of intelligent video technology.
- Copyright
- © 2018, 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 - Xiaoqiu Liu PY - 2018/03 DA - 2018/03 TI - Video Event Detection and Human Behavior Analysis BT - Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017) PB - Atlantis Press SP - 192 EP - 197 SN - 2352-5401 UR - https://doi.org/10.2991/aetr-17.2018.37 DO - 10.2991/aetr-17.2018.37 ID - Liu2018/03 ER -