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Method and device for luggage identification

A luggage and equipment technology, applied in the field of communication, can solve the problems of not considering the relative position characteristics of luggage and the low accuracy of luggage identification, so as to achieve the effect of comprehensive analysis of factors and improved results

Active Publication Date: 2021-04-20
XIAN UNIVIEW INFORMATION TECH CO LTD
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] Luggage recognition schemes in the prior art are all recognition schemes that use a recognition model that recognizes general targets (targets that are applicable to all types of objects), and do not consider the relative position characteristics of luggage in the image, especially the relationship between luggage and pedestrians. Position features, so that the accuracy of bag recognition is not high

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  • Method and device for luggage identification
  • Method and device for luggage identification

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Embodiment Construction

[0039]As described in the background technology, the existing luggage recognition technology generally adopts a general target recognition model to identify the luggage area in the picture. Predict the attribute type that the case belongs to. However, the positional relationship of the luggage in the picture, especially the positional relationship with the human body in the picture also affects the attribute type of the luggage. For example, the upper edge of the trolley case and the handbag are generally connected to the arm, and the upper edge of the backpack is generally Close to the head and shoulders. It can be seen that the attribute type of the luggage can be further verified through the positional relationship of the luggage in the detection picture.

[0040] Therefore, this application proposes a luggage recognition method, which is used to identify the luggage area in the image based on the existing luggage recognition technology, combined with the relative position...

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Abstract

The invention discloses a luggage identification method, which uses a preset luggage identification model to obtain the feature area of ​​the image to be detected and the ontology features of the feature area. The types of the feature area include the human body area and the luggage area; The first layer of the probability model conducts an analysis on the ontology features of the luggage area and the positional relationship between the luggage area and the human body area, and determines the type of luggage to which the luggage area belongs based on the result of an analysis. Since the ontology features of the luggage area and the positional relationship between the luggage area and the human body area are combined and analyzed in one analysis, the analysis factors are more comprehensive, thereby improving the result of luggage prediction. At the same time, the invention also discloses a luggage identification device.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a method for identifying bags, and at the same time, the application also particularly relates to a device for identifying bags. Background technique [0002] Pedestrian recognition is an important part of intelligent transportation system and intelligent monitoring system. Luggage recognition is a sub-topic of pedestrian recognition. It can provide more features for pedestrian recognition and improve the accuracy of recognition. It is a very important supplement for pedestrian recognition. [0003] Currently, there are many methods for bag recognition, and the mainstream is based on deep learning. The most typical one is the bag recognition technology based on fasterrcnn. However, considering that there are too many factors affecting bag recognition, including common lighting, rotation, occlusion, scaling and other factors, as well as different styles of bags, di...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V20/47
Inventor 苏志杰
Owner XIAN UNIVIEW INFORMATION TECH CO LTD
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