An image recognition method, electronic device, and computer-readable storage medium

Abstract

Embodiments of the present invention relate to the technical field of communications, and disclose an image recognition method, an electronic device, and a computer-readable storage medium. In the present invention, the similarity between the image block under test in the video frame and each candidate image block in the candidate object set is obtained; if there is a candidate object whose similarity with the image block under test is greater than the first preset threshold in the candidate object set Image block, the candidate image block whose similarity is greater than the first preset threshold is used as the target candidate image block; if in the first preset number of frames continuous with the video frame, there is always a similarity with the target candidate image block greater than the first The image block to be tested with a preset threshold value, and the distance between the position information of the image block to be tested in any frame in the first preset number of frames and the position information of the image block to be tested in the video frame is smaller than the predetermined distance. If the threshold is set, the image block to be tested is determined as a real image block, so that the image can be recognized more accurately through simple operations, and the success rate of recognizing the image can be increased.

Description

technical field [0001] Embodiments of the present invention relate to the field of communication technologies, and in particular, to an image recognition method, electronic equipment, and a computer-readable storage medium. Background technique [0002] With the increasing public security requirements, the role and advantages of intelligent video surveillance technology in security precautions and early warnings are becoming more and more obvious. As an important part of intelligent video surveillance technology, the detection and identification of objects in public places is helpful to timely discover potential safety hazards caused by unknown objects in video surveillance scenes. The main task of object detection and recognition is to intelligently analyze the video surveillance scene, segment unknown objects from the video surveillance scene, and issue an alarm signal in time. [0003] Among the existing object detection and recognition methods, one is to extract the sta...

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Problems solved by technology

[0004] The inventor found that there are at least the following problems in the prior art: the recognition method based on the difference of the double background model often has a high false alarm rate due to the "ghost" in the background difference; Larger, it is difficult to meet the real-time requirements; the recognition method based on the accumulation of binary foreground images is often not ideal when applied in complex scenes

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