Video data processing method and device, computer equipment and storage medium

Abstract

The invention relates to artificial intelligence, and provides a video data processing method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a target data set and a to-be-processed video set; extracting at least two video frame images from each original video; enabling the image recognition model to perform image binarization processing, edge detection processing and contour tracking processing on the video image; obtaining a license plate area, a human face area and a human body feature area, extracting text features of the license plate area through a character segmentation algorithm, obtaining a license plate number result, extracting human face features of the human face area through a YOLO algorithm, obtaining a human face result, extracting human body posture features of the human body feature area through a chain code curvature algorithm, and obtaining a human body feature result; determining an identification result; extracting a matching fragment; and performing splicing to obtain a video synthesis fragment, and performing sorting to obtain a target video. In addition, the invention also relates to a blockchain technology, and the target data set can be stored in the blockchain node.

Description

technical field [0001] The present invention relates to the data processing field of artificial intelligence, and in particular, to a video data processing method, device, computer equipment and storage medium. Background technique [0002] At present, with the continuous development of traffic surveillance video, the amount of surveillance video data continues to increase. In the prior art, after a traffic accident occurs, it is necessary to obtain surveillance video data for tracking and determination of responsibility, most of which are manually viewed and identified by the naked eye. Interception, splicing the intercepted video clips as evidence of liability, due to the scattered and small scope of the license plates, faces, and human bodies captured in the surveillance video data, it is difficult for the staff to find them, and the work efficiency will be affected by the staff. It is also prone to omissions and the risk of inappropriate determination of responsibility, ...

AI Technical Summary

Problems solved by technology

[0002] At present, with the continuous development of traffic surveillance video, the amount of surveillance video data continues to increase. In the existing technology, it is necessary to retrieve surveillance video data for tracking and determination of responsibility after a traffic accident. Interception, the splicing of the intercepted video clips is used as evidence for determining liability. Due to the scattered and small-scale problems of license plates, faces, and human bodies captured in surveillance video data, it is difficult for staff to find them, and work efficiency will be affected by staff. It is also prone to omissions and leads to the risk of improper determination of responsibility, resulting in high input costs and low work efficiency

Images