Method and device for detecting abnormal articles in scene

Abstract

The embodiment of the invention discloses a method and a device for detecting abnormal articles in a scene, and the method comprises the steps: respectively inputting a scene detection graph and a scene standard graph into corresponding sub-networks of a twin network, and respectively obtaining a feature graph of the scene detection graph and a feature graph of the scene standard graph; fusing thefeature map of the scene detection map and the feature map of the scene standard map to obtain a common feature map; calculating by adopting a plurality of hole convolution and the common feature maprespectively to obtain sub-feature maps of multiple types of articles in a scene encircled by a target frame; screening out sub-feature maps with abnormal articles from the sub-feature maps of the multiple types of articles in the scene through a full-connection network, calculating coordinates of the sub-feature maps with the abnormal articles, and circling the abnormal articles by using the target frame in the scene detection map. Through the abnormal article detection method provided by the embodiment of the invention, the abnormal article which should not appear in the scene originally can be detected, manpower is greatly liberated, and the life quality of people is improved.

Description

technical field [0001] The present invention relates to the field of abnormal item detection, in particular to a method and device for detecting abnormal items in a scene. Background technique [0002] With the continuous development of urbanization in our country, various high-rise comprehensive construction groups continue to emerge, such as comprehensive shopping malls, residential quarters, supermarket stores, etc. People's activities are also more and more concentrated in various comprehensive construction groups. However, on the passages where people walk, people often place various abnormal objects intentionally or unintentionally, such as sundries, garbage, etc., which greatly affects people's travel, and may hurt children and the elderly, and even When the fire broke out, the fire exits were so full of debris that people couldn't escape in time. [0003] The traditional detection of abnormal objects mainly relies on manual work, such as cleaners cleaning the sundr...

AI Technical Summary

Problems solved by technology

However, on the passages where people walk, various abnormal objects are often placed intentionally or unintentionally, such as sundries, garbage, etc., which greatly affects people's travel, and may hurt children and the elderly, and even When the fire broke out, the fire escape was full of debris, so that people could not escape in time

[0003] The traditional detection of abnormal objects mainly relies on manual work, such as cleaners cleaning the sundries on the passage, special staff checking whether the fire exit is blocked, etc. Although this method is simple and easy to implement, it requires a lot of manpower and cannot be real-time The detection of abnormal items in the scene also greatly depends on the professional quality and work attitude of the inspectors

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