System and method for processing high-definition picture for intelligent monitoring

Abstract

The invention discloses a system and a method for processing a high-definition picture for intelligent monitoring and belongs to a picture transmission system of an intelligent monitoring system. The processing system at least comprises a picture source end and a picture receiving end. The picture source end comprises a picture sensing module, a picture collecting and separating module and a picture processing and coding module. The picture receiving end comprises a picture decoding module, a picture synthesis module and a picture displaying module. A background and a foreground in the high-definition picture are separated, compressed and transmitted at the picture source end. Foreground data are transmitted in real time and a background layer which is not changed for a long time is transmitted once for a long time. Background picture data and the foreground picture data are synthesized to restore the picture at the picture receiving end so that more details of the picture can be reserved and contradiction of picture definition and data volume is solved. The system and the method for processing the high-definition picture for the intelligent monitoring are particularly suitable for monitoring and the intelligent monitoring system based on facial recognition, anti-fake recognition and other advanced picture processing application of the next generation and an applied range is wide.

Description

technical field [0001] The present invention relates to an image transmission system of an intelligent monitoring system. More specifically, the present invention mainly relates to a high-resolution image processing system and method for intelligent monitoring based on image recognition. Background technique [0002] Existing high-definition surveillance cameras use standard video compression algorithms, such as MPEG and H.264, which are mainly developed for high-definition video in the entertainment industry. The purpose is to delete as many image details as possible to reduce the amount of data, making HDTV can be transmitted over the Internet or stored on storage devices such as USB sticks or diskettes. These techniques treat an image as a collection of individual pixels. The basic principle is to divide the entire picture into many small squares with the same pixel, and then perform discrete COS transformation on each small square to transform the pixels from the geomet...

AI Technical Summary

Problems solved by technology

[0003] If image compression comes at the expense of image clarity or motion speed, then the compressed image will not be much different from the uncompressed image crispness you get today from low-resolution cameras, or even worse than old-fashioned analog Image Quality of Surveillance Systems

This is the main reason why the current high-resolution monitoring system is difficult to promote

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