Event detection method and related device

Abstract

The invention discloses an event detection method and a related device, and the method comprises the steps of inputting an image into an instance segmentation network model, carrying out the analysisof the image through the instance segmentation network model, and outputting feature information; calculating a first area intersection ratio between segmentation instance masks in the feature information corresponding to the pedestrian; comparing the first area intersection ratio with a first preset threshold value, and if the first area intersection ratio is larger than the first preset threshold value, considering that a trailing event exists; calculating a second area intersection ratio between the segmentation instance mask in the feature information corresponding to the pedestrian and the segmentation instance mask in the feature information corresponding to the target area; calculating the average value of the second area cross-parallel ratio in the preset time; and comparing the average value with a second preset threshold value, and if the average value is greater than the second preset threshold value, determining that a staying event exists. The method can accurately and effectively identify the trailing event and the staying event.

Description

technical field [0001] The present application relates to the technical field of security monitoring, and in particular to an event detection method; it also relates to an event detection device, equipment, and a computer-readable storage medium. Background technique [0002] With the rapid development and improvement of deep learning, computer vision technology has made great progress, and pedestrian detection and face recognition technologies have been widely used in fields such as time attendance and security monitoring. For example, in the application scenario of the channel gate, the channel gate area is usually monitored by looking down the camera, and the target detection frame is obtained by using the target detection technology, and then the pedestrian event is judged through the detection frame. However, this method needs to build a top-down camera installation environment, and the cost and benefit are not proportional. At the same time, the target detection techn...

AI Technical Summary

Problems solved by technology

However, this method needs to build a top-down camera installation environment, and the cost and benefit are not proportional

At the same time, the target detection technology is aimed at the scene where the target is close or there is occlusion, it is easy to have a large detection frame and false detection, which affects the judgment of tailing events and lingering events

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