Time synchronizing method and system for multi-view video collection

Abstract

The present invention relates to a kind of time synchronization method and system for multi-viewpoint video collection, and the method of the present invention comprises the following steps: (1) use the network time protocol to synchronize the system time of all devices; Start a video acquisition program respectively; (3) the video acquisition program monitors the control command from the synchronization server; (4) the synchronization server detects the maximum round-trip time of the local area network; (5) the synchronization server adds the current system time and the maximum round-trip time of the local area network as an estimated The acquisition time is sent to each video acquisition program; (6) The video acquisition program cyclically compares the current system time with the expected acquisition time, and starts video data acquisition if it exceeds. The invention effectively avoids the synchronization failure caused by too short waiting time delay, and at the same time, can avoid the unprincipled long waiting of the video acquisition machine, and the time precision can reach millisecond level. The method of the invention can be widely used in various multi-camera-based multi-viewpoint video data collection and transmission systems.

Description

technical field [0001] The invention relates to a video and image processing method and system, in particular to a time synchronization method and system for multi-viewpoint video acquisition. Background technique [0002] Multi-view video includes multiple video sequences captured simultaneously by multiple cameras from multiple different positions and angles for the same object. Compared with traditional single-point video, multi-view video can provide different angles and different levels of information of a certain object or scene, and can synthesize these information to generate multi-angle, all-round free or stereoscopic vision. Raw data of multi-viewpoint video is generally collected by a collection of multiple cameras, and different types of multi-viewpoint video data are generated according to different arrangements of cameras. [0003] The first step in constructing a multi-viewpoint video system is the acquisition of multiple viewpoint video data. Due to the lar...

AI Technical Summary

Problems solved by technology

However, in ordinary non-real-time multitasking operating systems, the waiting time for calling this command is not accurate. The actual measurement results show that the error values ​​​​are different in different machines and different multitasking operating environments, and it is impossible to achieve milliseconds. precise synchronization

Finally, each video capture machine calls the video capture program to start the camera hardware for video capture after obtaining time synchronization. However, the start time of the capture program is different in different machines and different operating environments, which further introduces time errors. , the measured results show that the error can sometimes be as high as 100 milliseconds

Images