Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)

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/).

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Volume Title
Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)
Series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-489-7
ISSN
2352-5401
DOI
10.2991/aetr-17.2018.37How to use a DOI?
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  -