Front face feature-based vehicle type recognition method

A car model recognition and front face technology, applied in the field of image recognition, can solve the problems of little research and inability to realize vehicle discrimination, and achieve the effect of convenient daily work and accurate automatic recognition

Inactive Publication Date: 2014-04-23
江苏博世建设有限公司
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AI Technical Summary

Problems solved by technology

In the current vehicle type discrimination, most feature quantities such as vehicle length, width, height, and invariant moments are extracted from video images through noise reduction processing and edge detection, and then pattern recognition is performed to determine the vehicle model, but only Judging the general t

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Embodiment Construction

[0015] The present invention will be further described below in conjunction with specific drawings and embodiments.

[0016] Such as figure 1 , figure 2 Shown:

[0017] The vehicle type identification method based on the front face feature that the present invention proposes comprises the following parts:

[0018] S01. A method for automatically extracting road vehicles based on image histogram information, analyzing road images returned from traffic checkpoints on the road, and using a monocular image analysis method to extract possible vehicle areas in the road images;

[0019] The S01 is specifically:

[0020] (1) For the input image I, establish its grayscale histogram I hist , extract the gray value with the most frequency, record the gray value as B, and the corresponding frequency as P;

[0021] (2) Set the gray interval threshold T=P / 3, and establish the road surface candidate target mask binary image M=(I>B+T)|(I

[0022] (3) Carry out median filter proce...

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Abstract

The invention provides a front face feature-based vehicle type recognition method, which comprises the following parts: S01, executing an image histogram information-based road surface vehicle automatic extraction method: analyzing road surface images sent back by a traffic checkpoint on a road, and extracting possible vehicle areas in the road surface images by adopting a monocular image analysis method; S02, executing a color and gradient information-fused vehicle front face interception method: analyzing the color and the gradient information of a target in vehicle area images obtained in the step S01 to complete the interception of a vehicle front face; S03, performing heterogeneous sample analysis-based vehicle type online training, and establishing vehicle templates of various vehicle types; S04, executing a vehicle front face feature subspace-based vehicle type judging method: matching the vehicle front face intercepted in the step S02 and the vehicle templates obtained in the step S03 to obtain the judging decision of the vehicle types. According to the front face feature-based vehicle type recognition method disclosed by the invention, the automatic recognition of the vehicle types can be accurately performed, and the daily work of relevant departments requiring vehicle type information is greatly facilitated.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a vehicle type recognition method based on vehicle front face features. Background technique [0002] With the development of artificial intelligence, automatic control and pattern recognition and other fields, intelligent transportation system came into being and achieved great development. Intelligent identification and classification of vehicle types has always been an important part of intelligent transportation systems. Accurate identification of vehicle types is of great significance to the determination of highway tolls, the management of large parking lots, and the monitoring and control of highway traffic. [0003] Traditional vehicle classification detectors mainly include piezoelectric detectors, infrared detectors, magnetic induction detectors and ultrasonic detectors, which are easily affected by other external unstable factors, and mostly estimate the len...

Claims

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Application Information

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IPC IPC(8): G08G1/017G06K9/00
Inventor 陈莹化春健梅俊琪
Owner 江苏博世建设有限公司
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