面向智能监控摄像头的监控视频大数据分析处理

doi:10.11999/JEIT160712

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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.

Key words： Big surveillance video data Association analysis Pre-alarming of abnormal events Intelligent retrieval Intelligent surveillance system

Received: 07 July 2016 Published: 09 February 2017

PACS:

TP391

Fund:

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)

Corresponding Authors: WANG Zhongyuan E-mail: wzy_hope@163.com

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	SHAO Zhenfeng
	CAI Jiajun
	WANG Zhongyuan
	MA Zhaoting

Cite this article:

SHAO Zhenfeng,CAI Jiajun,WANG Zhongyuan等. Analytical Processing Method of Big Surveillance Video Data Based on Smart Monitoring Cameras[J]. JEIT, 2017, 39(5): 1116-1122.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT160712 OR http://jeit.ie.ac.cn/EN/Y2017/V39/I5/1116

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