Multi-task vehicle part recognition model, method and system based on deep learning

A technology for vehicle parts and recognition models, applied in the field of pattern recognition, can solve problems such as difficult convergence, troublesome data acquisition, and complex network training, and achieve the effects of improving the recognition rate of vehicle parts, easy data acquisition, and high recognition efficiency
CN108647700BInactive Publication Date: 2021-08-03HUAZHONG UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUAZHONG UNIV OF SCI & TECH
Publication Date
2021-08-03
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a multi-task vehicle component recognition model, method and system based on deep learning, including: establishing a vehicle component database based on a vehicle image database and marking the vehicle components, and performing image data enhancement on the vehicle component database to obtain vehicle component training set; use the vehicle part training set to train the deep residual network, and obtain the vehicle part recognition network; based on the vehicle image database, count the probability of simultaneous occurrence of different types of multiple vehicle parts, and obtain the joint probability of multiple vehicle parts, based on multiple vehicle parts The joint probability of the multi-task vehicle part recognition data set and corresponding multi-label is established; it is used to train the vehicle part recognition network to obtain a multi-task vehicle part recognition model. The multi-task vehicle part recognition model is used to identify the image of the vehicle to be detected, and the probability of each vehicle part in the image of the vehicle to be detected is obtained. The invention has simple network training, easy convergence, easy data acquisition and high recognition accuracy.
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Description

technical field

[0001] The invention belongs to the technical field of pattern recognition, and more specifically relates to a deep learning-based multi-task vehicle component recognition model, method and system. Background technique

[0002] Object recognition algorithm is one of the important fields of image processing and pattern recognition research, and it is a hot research topic at present. The so-called target recognition refers to the realization of human visual function by computer, and its research goal is to enable the computer to have the ability to recognize the surrounding environment from one or more images or videos. The target recognition method is to use various matching algorithms to find the best match with the object model library according to the features extracted from the image. Its input is the image and the model library of the object to be recognized, and the output is the name of the object, attitude, position, etc. Target recognition methods g...

Claims

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