Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

New Approach of Abnormal Events Judgement and Early-warning Based on Combination of Audio Analysis and Video Analysis

Authors
Jun Hu, Xue-Ming Shu, Shi-Yang Tang, Shi-Fei Shen
Corresponding Author
Jun Hu
Available Online November 2016.
DOI
https://doi.org/10.2991/ceis-16.2016.66How to use a DOI?
Keywords
abnormal events; audio analysis; video analysis
Abstract
The monitoring and early-warning of abnormal events in public places is an important part of the public security research. But nowadays, the monitoring way is basically video surveillance, and the judgement and analysis of abnormal events is based on the video content. This single way has low accuracy and analytic algorithms have some limitations, so the single audio analysis method can't offer timely and effective early-warning. Taking a sudden car fire event for example, this article combines the audio analysis and video analysis to judge abnormal events and also designs an new surveillance system, offering an effective way to early-warning.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering and Information Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-283-1
DOI
https://doi.org/10.2991/ceis-16.2016.66How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jun Hu
AU  - Xue-Ming Shu
AU  - Shi-Yang Tang
AU  - Shi-Fei Shen
PY  - 2016/11
DA  - 2016/11
TI  - New Approach of Abnormal Events Judgement and Early-warning Based on Combination of Audio Analysis and Video Analysis
BT  - 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
UR  - https://doi.org/10.2991/ceis-16.2016.66
DO  - https://doi.org/10.2991/ceis-16.2016.66
ID  - Hu2016/11
ER  -