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Traffic surveillance video storage method based on event density in hdfs

A technology of traffic monitoring and video storage, applied in electrical components, image communication, closed-circuit television systems, etc., can solve problems such as node load imbalance, achieve the effect of improving throughput and reducing system load imbalance

Active Publication Date: 2017-09-29
TONGJI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a traffic monitoring video storage method based on event intensity in HDFS, which can solve the problem of unbalanced node load generated when HDFS stores massive traffic monitoring videos, thereby realizing efficient storage of traffic monitoring data

Method used

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  • Traffic surveillance video storage method based on event density in hdfs
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  • Traffic surveillance video storage method based on event density in hdfs

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Embodiment Construction

[0030] The basic technical idea of ​​the present invention is: comprehensively utilizing the storage performance advantages of the Hadoop distributed storage system and the characteristics of the traffic monitoring video to solve the problem of efficient storage of large-scale traffic monitoring video. Traffic monitoring video data is large in scale, but in practical applications, users' access requests often focus on video clips containing traffic events. Due to the random data placement method of HDFS's rack-aware strategy, too much event video data may be centrally stored in some data nodes, resulting in storage hotspots. Taking the above points into consideration, the present invention utilizes the feature that traffic videos can be classified according to event types, and takes the possible load caused by various types of event videos stored in data nodes as one of the main evaluation factors of nodes when placing data. First, combine the real-time load of the node, disk ...

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Abstract

The invention discloses a traffic monitoring video storing method in an HDFS based on event intensity. The traffic monitoring video storing method is characterized by comprising the following steps that an intelligent camera obtains traffic monitoring data, detects traffic events and sends traffic video streaming data and event type description information included in the data to a video server; the video server encodes and segments the video data after receiving the video streaming data sent by the camera, a video file is generated, and the file is marked with the event type according to the event description information of the video data; the video data are uploaded to the HDFS; after receiving a data storage request, a Name Node in the HDFS calls a data placement strategy based on the event intensity to select a target data node for the data file to be stored; the file is stored in the target data node selected in the third step. The problem of node load unbalance caused when the HDFS stores mass traffic monitoring videos can be solved, and accordingly, the traffic monitoring data can be efficiently stored.

Description

technical field [0001] The invention relates to the storage of massive video data, in particular to a traffic monitoring video storage method based on event density in HDFS. Background technique [0002] With the continuous development of video compression technology and network transmission technology, intelligent video surveillance systems are gradually becoming popular. Due to the increase and high-definition of monitoring equipment in urban intelligent traffic video surveillance, the amount of surveillance video data generated is very large. Taking a 2-megapixel high-definition camera for functions such as violation event detection as an example, its maximum video bit rate is 4Mbps, then 40TB of video data will be generated within 30 days in the monitoring area of ​​8 intersections (with 4 cameras at each intersection). The rapidly growing amount of data poses a severe test to the storage performance of the monitoring system. The surveillance video stored at the same t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N7/18H04N21/231H04N21/647H04L29/08
Inventor 蒋昌俊闫春钢陈闳中喻剑臧继昆
Owner TONGJI UNIV
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