Image recognition method, electronic equipment and computer readable storage medium

Abstract

The embodiment of the invention relates to the technical field of communication, and discloses an image recognition method, electronic equipment and a computer readable storage medium. The method comprises the following steps: obtaining the similarity between an image block to be detected in a video frame and each candidate image block in a candidate object set; if the candidate image blocks of which the similarity with the to-be-tested image blocks is greater than a first preset threshold exist in the candidate object set, taking the candidate image blocks of which the similarity is greater than the first preset threshold as target candidate image blocks; if to-be-detected image blocks always exist in a first preset frame number continuous to the video frames, wherein the similarity between the to-be-detected image block and the target candidate image block is greater than a first preset threshold value all the time, and if the distance between the position information of the to-be-detected image block in the video frame and the position information of the to-be-detected image block in the video frame is smaller than the preset threshold, judging the to-be-detected image block tobe a real image block, so that the image can be identified more accurately through simple operation, and the success rate of image identification is 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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