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Vehicle recognition method and device and storage medium

A vehicle identification and vehicle technology, applied in the field of communication, can solve the problems of low recognition accuracy and low efficiency, and achieve the effect of improving recognition efficiency and accuracy

Active Publication Date: 2018-08-10
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] During the research and practice of the prior art, the inventors of the present invention found that as the data volume of the surveillance video is increasing, the efficiency of the existing vehicle recognition method is too low, and the recognition accuracy is not high

Method used

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  • Vehicle recognition method and device and storage medium
  • Vehicle recognition method and device and storage medium
  • Vehicle recognition method and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0074] In this embodiment, description will be made from the perspective of a vehicle identification device, and the vehicle identification device may specifically be integrated into a network device such as a terminal or a server.

[0075] An embodiment of the present invention provides a vehicle identification method, including: collecting multiple vehicle sample images, combining the multiple vehicle sample images in pairs to establish a sample pair, and merging each sample pair into a multi-channel image , is added to the training sample set, and the preset Siamese neural network model is trained according to the training sample set to obtain a trained model, and vehicle recognition is performed on the image to be recognized based on the trained model.

[0076] Such as Figure 1b As shown, the specific process of the vehicle identification method can be as follows:

[0077] 101. Collect multiple vehicle sample images.

[0078] For example, it is possible to collect multi...

Embodiment 2

[0131] According to the methods described in the previous embodiments, examples will be given below for further detailed description.

[0132] In this embodiment, it will be described by taking that the vehicle identification device is specifically integrated in a network device as an example.

[0133] (1) Model training.

[0134] For example, first, the network device can collect a large number of vehicle sample images through multiple channels, and the multiple vehicle sample images can include multiple images of different vehicles, and also include different images of the same vehicle (such as at different locations, different times, or different images). The image obtained by shooting the same vehicle from an angle), the image can be the overall image of the vehicle, or an image of a local area of ​​the vehicle. If the collected image is the overall image of the vehicle, the image of the local area of ​​the vehicle can be obtained by cropping Image, for example, a partial...

Embodiment 3

[0184] In order to better implement the above method, an embodiment of the present invention also provides a vehicle identification device. The vehicle identification device can specifically be integrated into a network device such as a terminal or server. The terminal can include a mobile phone, a tablet computer, a notebook computer or PC and other equipment.

[0185] For example, if Figure 3a As shown, the vehicle recognition device may include a collection unit 301, a combination unit 302, a combination unit 303, a training unit 304 and a recognition unit 305, as follows:

[0186] (1) Acquisition unit 301;

[0187] The acquisition unit 301 is configured to acquire a plurality of vehicle sample images.

[0188] For example, the collection unit 301 can specifically collect multiple vehicle sample images by taking a large number of vehicle images and taking multiple images of the same vehicle; or, the collection unit 301 can also search on the Internet or from the vehicle ...

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PUM

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Abstract

The embodiment of the invention discloses a vehicle recognition method and device and a storage medium According to the embodiment of the invention, the method comprises the steps: carrying out the combination of each two collected vehicle sample images, so as to build sample pairs; merging each sample pair into one multichannel image, and then adding the multichannel images to a training sample set; training a preset twin neural network model according to the training sample set, and obtaining a trained model, so as to achieve the recognition of a to-be-recognized image based on the trained model during the vehicle recognition, such as the recognition of a target vehicle from mass images, and so on. According to the scheme of the invention, the method can achieve the recognition of a vehicle through the building of a model. Compared with a conventional scheme based on human eyes or simple matching, the method can improve the recognition efficiency and accuracy.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a vehicle identification method, device and storage medium. Background technique [0002] In recent years, with the continuous expansion of the city, the substantial increase in the number of vehicles, and the improvement of social security awareness, surveillance cameras have covered roads and residential areas and other places, and the surveillance videos often play a major role in security. [0003] In the existing technology, when the relevant departments obtain the required clues from these surveillance videos, they often need to manually search the massive video data. Surveillance video on the streets and roads in the past month, and use the photos of the suspect vehicle to identify the scene of the suspect vehicle through human eyes or simple image matching, so as to conclude the driving track of the suspect vehicle, etc. . [0004] During the research and...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/52G06F18/214
Inventor 彭湃张有才余宗桥郭晓威
Owner TENCENT TECH (SHENZHEN) CO LTD
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