Image streaming dividing control method and device of high-definition camera

Abstract

The invention relates to the field of intelligent transportation and discloses an image streaming dividing control method and device of a high-definition camera. The following steps are executed on the same camera and includes that the streaming type which the next frame of videos belong to is judged; shooting parameters corresponding to the streaming type are set for the camera; the camera is controlled to shoot a frame of videos, and the frame of videos is added into the corresponding video streaming. One high-definition camera is adopted for performing streaming dividing exposure control and data processing on the video frames, exposure control parameters and an image processing algorithm needed by intelligent analysis of the video streaming are adopted for intelligent analysis of the video streaming, exposure control parameters and an image processing algorithm needed by video recording are adopted for recording the video streaming, multiple kinds of streaming meeting different requirements can be output in parallel with one camera, the video control parameters of the different kinds of streaming are completely independent, the requirement for intelligent analysis application can be met, the requirement for video recording application is met, and the image streaming dividing control method and device have obvious advantages.

Description

Technical field [0001] The invention relates to the field of intelligent transportation, in particular to an image shunt control technology for a high-definition camera. Background technique [0002] With the advancement of the construction of a safe city and the development of the field of intelligent transportation, crossroad monitoring and traditional intelligent transportation applications, such as bayonet and electronic police applications, are gradually merging. In order to save costs, new cameras in the current intelligent transportation industry have been proposed. It needs to meet the needs of traditional intelligent transportation applications as well as surveillance video applications at intersections. [0003] At present, in the application of the intelligent transportation industry, it is necessary to realize both intelligent analysis applications and ordinary surveillance video. Generally, intelligent applications need to analyze the information of moving objects in t...

AI Technical Summary

Problems solved by technology

This approach can guarantee good results, but using two cameras, the project is relatively complicated and the equipment cost is high

[0005] 2) Use an ordinary high-definition smart camera: In a scene with insufficient light at night, if the shooting of moving vehicles is prioritized, the shutter will be faster, and the outline of the vehicle will be clear without tailing, but it will cause the video picture to be dark and lose the image of the dark place. Details; if the priority is to satisfy the brightness of the picture and improve the details in the dark, the shutter will be slower, which will cause tailing and blurring of fast-moving vehicles, and the license plate information will be difficult to distinguish

Intelligent analysis The shutter-priority exposure control strategy is adopted for the video stream; the brightness-priority exposure control strategy is adopted for the recording video stream, it is difficult for a camera to achieve both the video effect and the intelligent analysis effect

This approach uses one camera, which can meet the needs of some applications, but many applications will lose sight of the other and affect the overall effect

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