A vehicle model retrieval system and method based on convolutional neural network

A convolutional neural network and vehicle model technology, applied in digital data information retrieval, image analysis, instruments, etc., can solve problems affecting retrieval efficiency and retrieval accuracy, improve retrieval efficiency and accuracy, and shorten retrieval time , cost reduction effect
CN106557579BActive Publication Date: 2020-08-25CHINACCS INFORMATION IND
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
CHINACCS INFORMATION IND
Publication Date
2020-08-25

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Abstract

The invention discloses a convolutional neural network-based vehicle model search system and method. The search system comprises a traffic block port picture obtaining module, a vehicle detection module, oriented feature segmentation module, an oriented feature extraction module and a search module, which are connected in sequence, wherein the vehicle detection module is used for carrying vehicle detection on an obtained vehicle photo and capturing a vehicle picture; and the oriented feature segmentation module is used for positioning an air-inlet grille on the basis of the vehicle picture captured by the vehicle detection module, and respectively segmenting a vehicle logo picture, a left vehicle light picture, a right vehicle light picture, an air inlet grille picture and a bumper picture via a symmetry axis of the air inlet grille. The search method has the beneficial effects that the search efficiency and correctness can be greatly improved, the search time is obviously shortened when the search method is compared with the traditional search methods, the correctness can be up to 95.7%, and the requirements of intelligent traffic systems can be better satisfied.
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Description

technical field

[0001] The invention relates to the technical field of intelligent traffic information, in particular to a vehicle model retrieval system and method based on a convolutional neural network. Background technique

[0002] In recent years, with the continuous progress of society and rapid economic development, automobiles have become an indispensable means of transportation in daily life. Under such circumstances, intelligent transportation has emerged and developed rapidly. The breakthrough of convolutional neural network in image processing provides a more effective way for the application of intelligent transportation system. Convolutional neural network is to use computer to simulate the human brain for analysis and learning, extract effective features and textures from objective images, and finally use them for retrieval and recognition.

[0003] In intelligent transportation systems, vehicle model retrieval is an extremely important part. Vehicle model i...

Claims

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