Method and device for generating video, electronic equipment and medium

Abstract

The embodiment of the invention discloses a method and device for generating a video, electronic equipment and a medium. A specific embodiment of the method comprises the steps that a background image of a to-be-monitored area is acquired, the to-be-monitored area comprises a preset alarm area, and the background image comprises an image without a preset intruding object in the to-be-monitored area; acquiring an image of a preset intruding object; at least two fusion images are generated, and the fusion images are used for presenting different positions of the preset intruder in the to-be-monitored area; and converting the at least two fused images into a video. According to the implementation mode, the video data set is flexibly constructed according to needs, the video generation mode is enriched, and a basis is provided for efficiently constructing the test video in the safety field at low cost.

Description

technical field [0001] Embodiments of the present disclosure relate to the field of computer technologies, and in particular to methods, devices, electronic devices and media for generating videos. Background technique [0002] With the development of artificial intelligence technology, the abnormal recognition technology in video surveillance has also achieved more and more applications in the field of security. In the existing technology, the high-definition camera is often combined with the electronic fence technology, and the abnormal recognition algorithm is used to judge whether someone or something has broken into a specific space, so as to realize the monitoring of the core area. [0003] In order to verify the effectiveness of the anomaly recognition algorithm, it is often necessary to prepare the test video stream in advance, simulate the real environment by playing back the video stream, and verify whether the algorithm can effectively detect the intrusion of peop...

AI Technical Summary

Problems solved by technology

Moreover, if the video stream test sent back from the scene is used, it can only be tested based on the motion trajectory of the monitored object recorded in the video, and the intrusion trajectory cannot be flexibly constructed, so the coverage of the test range is limited.

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