Exception event detection and double-stream coding-based video monitoring method

Abstract

The invention discloses an exception event detection and double-stream coding-based video monitoring method in the technical field of video monitoring. The method comprises the following steps: initializing operation environment of a system, completing network configuration of the system, and regularly detecting a storage medium and a network connecting state; acquiring video information of a current monitored area, and respectively performing exception detection and double-stream coding processing on preprocessed video data; according to the acquired exception detection result and coding result, starting up alarm linkage, selectively remotely transmitting low-quality bit streams subjected to the first kind of coding in the double-stream coding image information, and performing ring buffer-based exception event storage on high-quality bit streams subjected to the second kind of coding; decoding, displaying and storing the acquired image information subjected to the first kind of coding at a receiving end; and locally storing the acquired image information subjected to the second kind of coding. The method can realize real-time browsing of the video and high-quality historical image check, and has the advantages of low cost, simpleness and reliability, and complete monitoring information.

Description

technical field [0001] The invention relates to a method in the technical field of video monitoring, in particular to a video monitoring method based on abnormal event detection and dual-stream encoding. Background technique [0002] In recent years, with the development of computer technology, especially the improvement of computing speed, storage capacity, communication ability and image display, as well as the increasing maturity of video compression coding technology, video surveillance technology has achieved rapid development. With the popularization of various digital monitoring systems, various changes have occurred in their working methods, and monitoring systems for different occasions have appeared, such as: network video monitoring systems, wireless video monitoring systems and intelligent video monitoring systems. Among them, wireless video surveillance uses wireless information transmission without the need for wired network construction such as optical fibers ...

AI Technical Summary

Problems solved by technology

Due to the time-varying and unstable wireless channel, limited bandwidth, and high bit error rate, how to ensure the real-time and high-quality requirements of surveillance video at the same time has become a difficulty affecting the application of wireless video surveillance systems.

[0003] After searching the existing literature, it is found that Chinese patent application number: 200910014707, name: Adaptive flow control method for data transmission of wireless video surveillance system, this technology improves the quality of video transmission through flow control; Chinese patent application number : 200910014849.3, name: frame rate control method based on wireless video surveillance, this technology adopts frame rate control method to improve the quality of video transmission, but the above two technologies do not consider the security monitoring system for real-time browsing of surveillance video and post-event investigation and evidence collection These two main business requirements do not combine the importance of surveillance video content for reasonable bandwidth resource allocation, so there are the following shortcomings: the quality of surveillance images of different contents is the same or similar, and it is difficult to meet the differences in the quality of different video clips for security surveillance Requirements for modernization: high-quality images are required when there are abnormal events, and high-quality images are not required when there are no abnormal events; only a single-channel encoding strategy is adopted, and the single-channel bit stream generated is difficult to achieve good coordination between real-time transmission and video quality; There are too many redundant video information, which leads to the transmission and storage of a lot of useless video information, which brings inconvenience to the retrieval and access of files in the future.

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