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Vehicle type distinguishing method based on video

A discrimination method and technology of car models, applied in character and pattern recognition, road vehicle traffic control systems, instruments, etc., can solve problems such as complex hardware systems, poor environmental adaptability, inconvenient maintenance, etc., and achieve broad application prospects and reliable discrimination , easy-to-achieve effects

Inactive Publication Date: 2012-08-15
CHANGAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are also complex hardware systems and poor environmental adaptability of the system, so it has defects such as high failure rate and inconvenient maintenance, and it is difficult to promote in actual use.

Method used

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  • Vehicle type distinguishing method based on video
  • Vehicle type distinguishing method based on video
  • Vehicle type distinguishing method based on video

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] Embodiment 1: It is known that a car passes by in the video sequence. When the rear of the vehicle passes through the first virtual coil, record the current image frame number as 20, and when the rear of the vehicle passes through the second virtual coil, record the current image frame number as 38, so the time it takes for the vehicle to pass through the virtual coil is 0.72 seconds . Therefore, the speed of the vehicle when passing the virtual coil is 2589.82 cm / s. When the front of the car passes the fixed marking line, the current frame number is 24, and when the rear of the car passes the fixed marking line, the current frame number is 29, so the time it takes for the vehicle to pass the marking line is 0.20 seconds. The binarized image of a vehicle passing through a fixed marker line such as image 3 (a) shown. Thus, the length of the vehicle is calculated to be 517.36 cm, and it can be known that it is a small car according to the judgment, which is consistent...

Embodiment 2

[0032] Embodiment 2: It is known that in the video sequence, a large vehicle passes by. When the rear of the vehicle passes the first virtual coil, record the current image frame number as 68, and when the rear of the vehicle passes the second virtual coil, record the current image frame number as 93, so the time it takes for the vehicle to pass the virtual coil is 1 second . Therefore, the speed of the vehicle when passing the virtual coil is 1864.67 cm / s. When the front of the car passes the fixed marking line, the current frame number is 71, and when the rear of the car passes the fixed marking line, the current frame number is 92, so the time it takes for the vehicle to pass the marking line is 0.84 seconds. The binarized image of a vehicle passing through a fixed marker line such as image 3 (b) shown. Thus, the length of the vehicle is calculated to be 1566.32 centimeters. According to the judgment, it can be known that it is a large vehicle, which is consistent with ...

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Abstract

The invention discloses a vehicle type distinguishing method based on a video. The length of a vehicle is solved by utilizing related technologies in visual detection and image processing, thus the vehicle type is distinguished. Compared with the prior art, the method disclosed by the invention can be used for distinguishing all the vehicle types in the range of the video without being limited by environments and can be used for reliably distinguishing the vehicle type in real time; and the method disclosed by the invention is easy to realize, higher in accuracy, wide in application prospect and applicable to real-time distinguishing on the vehicle type.

Description

technical field [0001] The invention belongs to the technical field of video detection, and in particular relates to a method for discriminating vehicle types based on video. Background technique [0002] With the development of the socialist market economy, people's living standards have been greatly improved, and the number of motor vehicles has also increased rapidly. As a result, traffic problems such as traffic congestion, frequent traffic accidents, deteriorating traffic environment, chaotic toll system, and backward traffic management have been brought about, thus a real-time, accurate, and efficient comprehensive traffic management system that plays a large-scale and comprehensive role It came into being. The intelligent transportation system (Intelligent Transportation System, referred to as ITS) is produced under this condition. Vehicle type discrimination, referred to as vehicle type discrimination, as an important branch of ITS, has broad application prospects ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/017G06K9/00
Inventor 宋焕生杨媛李文敏付洋刘雪琴杨孟拓张辉李晓
Owner CHANGAN UNIV
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