Analytical Processing Method of Big Surveillance Video Data Based on Smart Monitoring Cameras

SHAO Zhenfeng; CAI Jiajun; WANG Zhongyuan; MA Zhaoting

doi:10.11999/JEIT160712

Volume 39 Issue 5

May 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(5): 1116-1122

SHAO Zhenfeng, CAI Jiajun, WANG Zhongyuan, MA Zhaoting. Analytical Processing Method of Big Surveillance Video Data Based on Smart Monitoring Cameras[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1116-1122. doi: 10.11999/JEIT160712

Citation:

SHAO Zhenfeng, CAI Jiajun, WANG Zhongyuan, MA Zhaoting. Analytical Processing Method of Big Surveillance Video Data Based on Smart Monitoring Cameras[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1116-1122. doi: 10.11999/JEIT160712

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Analytical Processing Method of Big Surveillance Video Data Based on Smart Monitoring Cameras

doi: 10.11999/JEIT160712

Funds:

The Fundamental Research Funds for the Central Universities (2042016kf0179, 2042016kf1019, 2042016 gf0033), The Guangzhou Science and Technology Project (2016- 04020070), The Special Funds Project on Public Welfare Industry Research of Surveying and Mapping Geographic Information (201512027), The Natural Science Fund of Hubei Province (2015CFB406), The Applied Basic Research Program of Wuhan City (2016010101010025)

Received Date: 2016-07-07
Rev Recd Date: 2016-12-13
Publish Date: 2017-05-19

Abstract

Abstract

As an important part in the security and protection system of cities, smart monitoring cameras which are equipped with intelligent video analytics ability can monitor in different scenes and pre-alarm abnormal behaviors or events. Nevertheless, with the growing number of smart monitoring cameras, the challenges to analytics, storage and retrieval of massive surveillance video data need to be solved in the big data era. This paper proposes an intelligent processing method which makes full use of smart cameras to big surveillance video data. The method consists of three parts: the intelligent pre-alarming for abnormal events, smart storage for surveillance video and rapid retrieval for evidence videos, which aim to improve the utilization efficiency of surveillance video data. Experimental results prove that the proposed approach can reliably pre-alarm abnormal events, efficiently reduce storage space of recorded video and significantly improve the evidence video retrieval rates associated with specific suspects.
- Big surveillance video data,
- Association analysis,
- Pre-alarming of abnormal events,
- Intelligent retrieval,
- Intelligent surveillance system

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References(17)

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