Method for image classification, transmission and processing in real-time monitoring system

Abstract

The invention relates to a method for image classification, transmission and processing in a real-time monitoring system. The method for image classification, transmission and processing in the real-time monitoring system is characterized by being mainly realized through an image collecting terminal and an image restoration terminal. The method comprises the steps that when the image collecting terminal is initially used, the background image of a monitoring environment is inquired by an accessing terminal and then is stored in the image restoration terminal in advance; the panoramic picture of the monitoring environment is collected, a foreground image and the background image are stripped, and then the collected foreground image is subjected to corresponding processing and classification and then transmitted according to the judgment authorized by the accessing terminal; an image reproduction part is used for analyzing and restoring the foreground image which is subjected to corresponding processing and classification, and the foreground image and the background image which is stored in advance are synthesized into one image. According to the method for image classification, transmission and processing in the real-time monitoring system, the foreground image and the background image are separated, the data amount needing to be transmitted in a network is reduced, meanwhile, through corresponding processing, the detail information of transmitted data is removed, the problem caused by the network in the transmission process of the data is solved, and meanwhile the safety of data transmission is also guaranteed.

Description

technical field [0001] The invention relates to a video stream processing technology, which belongs to the field of monitoring, in particular to a method for image classification, transmission and processing in a real-time monitoring system. Background technique [0002] An important factor that restricts the promotion of remote real-time monitoring to families is the security of personal privacy. On the one hand, in home applications, it is necessary to provide remote care for monitoring objects such as children or the elderly to protect the safety of the monitored objects. On the other hand, it is necessary to filter the content of the video information involved to avoid the leakage of personal privacy. However, IP cameras are traditionally used to take pictures of the monitored objects and send them to remote monitoring terminals. The image information disseminated in this way will inevitably cover the private content of the monitored objects. Once any link of network ...

AI Technical Summary

Problems solved by technology

However, IP cameras are traditionally used to take pictures of the monitored objects and send them to remote monitoring terminals. The image information disseminated in this way will inevitably cover the private content of the monitored objects. Once any link of network transmission is breached, it will lead to personal disclosure of information

In addition, due to the impact of bandwidth, the current video streams are all compressed and transmitted. The network bandwidth occupied by it has certain basic requirements for the network, and the inconsistency of the network transmission rate will affect the display speed of continuous images. This rate may It comes from the network itself, and it may also come from the impact on the speed of concurrent access to the network

The compressed video stream also requires the display terminal to have sufficient computing power to support the restoration of images. In practical applications, effective remote monitoring cannot be formed due to the difference in the terminal processing capabilities of customers.

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