Intelligent traffic monitoring method in low-illumination condition, device and system

An intelligent transportation and conditional technology, applied in the field of intelligent transportation, can solve the problems of insufficient consideration of the correlation of three primary colors, high time complexity, and easy distortion of image color

Inactive Publication Date: 2018-02-16
余帝乾
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] At present, intelligent traffic monitoring is based on the color constant technology of the retina + cortex theory. This technology has high t

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  • Intelligent traffic monitoring method in low-illumination condition, device and system

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Embodiment Construction

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0034] see figure 1 , In the first aspect, the embodiment of the present application provides a method for intelligent traffic monitoring under low-light conditions, the method comprising:

[0035] Step S101: tracking the target and acquiring images;

[0036] Step S102: restore the image, and analyze the basic attributes of the image;

[0037] In the process of image capture, transmission, storage and processing, some distortions will be caus...

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Abstract

The invention provides an intelligent traffic monitoring method in a low-illumination condition, a device and a system. Compared with prior art with defects such as high time complexity, insufficientconsideration for correlation among three primary colors and easy image color distortion after enhancement, the intelligent traffic monitoring method in the low-illumination condition, the device andthe system settle the defects in prior art and mainly perform enhancement processing on an original image in a traffic detecting and tracking system based on video in the low-illumination condition such as night. According to the method of the invention, mutual correlation among three RGB color spatial channels are analyzed, a three-channel combined enhancement method is presented; and secondly, for aiming at the characteristic of an intelligent traffic image, an enhancement method of combining brightness and contrast is presented. Furthermore, a parameter value required for enhancement is adaptively calculated through objectively evaluating the image quality, thereby finishing adaptive enhancement so that the image has high identification performance. In subsequent image processing, higher identification performance is realized.

Description

technical field [0001] The invention relates to the field of intelligent traffic, in particular to a method, device and system for intelligent traffic monitoring under low-light conditions. Background technique [0002] Since entering the 21st century, the world economy has developed rapidly and people's living standards have been continuously improved. All of this has benefited from the rapid development of road traffic and vehicle transportation. On the contrary, these factors restrict the development of social economy and the improvement of people's quality of life. In addition, it is difficult to improve the decreasing traffic efficiency and increasing traffic accidents. Today, as the contradiction between environment and resources becomes increasingly prominent, simply relying on the growth of road facilities and other basic means to solve transportation needs can no longer meet the needs of social development. How to use advanced technology to ensure the efficiency and...

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Application Information

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IPC IPC(8): G08G1/01G06T5/00G06T7/246H04N7/18
CPCG08G1/01G06T5/002G06T5/003G06T7/246G06T2207/10016G06T2207/10024G06T2207/30236H04N7/18
Inventor 余帝乾
Owner 余帝乾
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