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Automatic vehicle detection method based on deep learning

An automatic detection and deep learning technology, applied in the field of pattern recognition technology and traffic monitoring system, can solve the problems of not being able to make full use of vehicle information, not being able to cover the driving environment, and not being able to achieve accuracy, so as to save labor costs and time costs , good adaptability, the effect of reducing workload

Inactive Publication Date: 2015-12-23
SUZHOU PAIRUI LEIER INTELLIGENT TECH CO LTD +3
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  • Summary
  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

The method of manually marking vehicle features is time-consuming and laborious, and cannot make full use of vehicle information, cannot cover more driving environments, and cannot achieve high detection accuracy when encountering vehicle occlusion or vehicle shadows

Method used

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  • Automatic vehicle detection method based on deep learning
  • Automatic vehicle detection method based on deep learning
  • Automatic vehicle detection method based on deep learning

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Embodiment approach

[0022] According to an embodiment of the present invention, the vehicle automatic detection method includes:

[0023] S1, collect real traffic video, and obtain the original sampling image;

[0024] S2, performing candidate region extraction on the original sampled image, and converting the candidate region into a fixed-size image;

[0025] S3, using the convolutional neural network to perform feature learning on fixed-size images, and classify the learned features to obtain a deep learning model;

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Abstract

The invention provides an automatic vehicle detection method based on deep learning. The automatic vehicle detection method based on deep learning can utilize a convolution neural network to automatically extract the vehicle characteristics in the traffic environment so as to eventually realize automatic detection and identification of a vehicle target. The automatic vehicle detection method based on deep learning can be applied to different environments, different illumination intensities and different weather situations, and can guarantee higher accuracy for detection for a vehicle in a complicated traffic environment, and provides a new real-time reliable preprocessing step for identifying and tracking the vehicle target for the subsequent video monitoring.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition and the technical field of traffic monitoring system, in particular to a method for automatic vehicle detection based on deep learning in high-definition images. Background technique [0002] At present, the level of urbanization in my country has exceeded 50%, and the number of automobiles has reached 140 million. The ensuing traffic congestion, environmental pollution, traffic safety and other issues have become increasingly prominent. In order to solve the contradiction between people, vehicles and roads in the existing transportation system, the intelligent transportation system has become the ideal solution of choice. Among them, the intelligent video surveillance system is an essential part of the intelligent transportation system. Vehicle detection based on intelligent video surveillance system is to use pattern recognition technology to automatically detect vehicles passing th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06K9/66
CPCG06V20/584G06V30/194G06V2201/08G06F18/24
Inventor 姚彦洁田滨王飞跃杨柳青
Owner SUZHOU PAIRUI LEIER INTELLIGENT TECH CO LTD
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