Image shunt control method and device for high-definition camera

Abstract

The invention relates to the field of intelligent transportation, and discloses a high-definition camera image shunt control method and a device thereof. In the present invention, the following steps are repeatedly performed on the same camera: determine the stream type to which the next frame of video belongs; set the shooting parameters corresponding to the stream type for the camera; control the camera to shoot a frame of video, and add the video frame to the corresponding in the video stream. The present invention adopts a high-definition camera to perform shunt exposure control and data processing on video frames, intelligent analysis of video streams adopts exposure control parameters and image processing algorithms required for intelligent analysis of video streams, and video recording video streams adopts image exposure required for video recording Control parameters and image processing algorithms, using the same camera can output multiple streams in parallel to meet different needs. The video control parameters of different streams are completely independent, which not only meets the needs of intelligent analysis applications, but also meets the needs of video recording applications. The advantages are very obvious.

Description

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

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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