Method and device for detecting left article based on fusion algorithm

Abstract

The embodiment of the invention provides a method and device for detecting a left article based on a fusion algorithm, which can be used in the technical field of artificial intelligence, and the method comprises the steps: carrying out the target article discrimination processing of a plurality of obtained to-be-detected images and a difference part image of a preset background frame, and generating a target article discrimination result; if the target object judgment result is that the difference part image comprises the target object, obtaining a target image comprising the target object from the to-be-detected image; and according to the target image, subjecting the target article to left article discrimination processing, and outputting the left article detection result, so that the accuracy of the left article can be improved, the timeliness of left article detection can be ensured, and the left article can be retrieved for a client in time.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to the technical field of artificial intelligence, and in particular to a fusion algorithm-based detection method and device for leftover items. Background technique [0002] For business places such as banks, shopping malls, and catering, where there is a large flow of people, once a customer loses an item, it is difficult to find it, and the lost item is easily picked up by others and taken away illegally; Due to factors such as limited human resources, it is difficult for monitoring personnel to detect in time. In related technologies, detection methods based on background separation, detection methods based on dual background modeling, or target detection algorithms based on deep learning are usually used to automatically detect leftover items. The above methods have obvious deficiencies in terms of accuracy and timeliness. Contents of the invention [0003] ...

AI Technical Summary

Problems solved by technology

[0002] For business places such as banks, shopping malls, and catering, where there is a large flow of people, once a customer loses an item, it is difficult to find it, and the lost item is easily picked up by others and taken away illegally; Due to factors such as limited human resources, it is difficult for monitoring personnel to detect in time. In related technologies, detection methods based on background separation, detection methods based on dual background modeling, or target detection algorithms based on deep learning are usually used to automatically detect leftover items. The above methods have obvious deficiencies in accuracy and timeliness

Images