Suitcase identifying method and device

A technology of luggage and equipment, applied in the field of communication, can solve the problems of low accuracy of luggage identification and failure to consider the relative position characteristics of luggage, etc., achieve the effect of comprehensive analysis of factors and improvement of results

Active Publication Date: 2017-05-17
XIAN UNIVIEW INFORMATION TECH CO LTD
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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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  • Suitcase identifying method and device
  • Suitcase identifying method and device
  • Suitcase identifying method and device

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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 suitcase identifying method. The method includes the following steps: acquiring characteristic regions and the ontology characteristics of the characteristic regions of a to-be-detected image through a preset suitcase identifying model, the characteristic regions including types divided into a human body region and a suitcase region; based on a first layer of a preset condition random field probability model, conducting first time analysis on the ontology characteristics of the suitcase region and the position relation between the suitcase region and the human body region, and determining the suitcase type to which the suitcase region belongs based on the result of the first time analysis. Since the ontology characteristics of the suitcase region are jointly analyzed with the position relation between the suitcase region and the human body region in the first time analysis, factors are more comprehensively analyzed and the result of suitcase prediction is increased. Also, the invention discloses a suitcase identifying 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 Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/47
Inventor 苏志杰
Owner XIAN UNIVIEW INFORMATION TECH CO LTD
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