Day-night switching detection algorithm based on video sequence image characteristic analysis

A video sequence and feature analysis technology, applied in computing, computer parts, instruments, etc., can solve the problems of low detection accuracy in the early morning and dusk, and achieve the effect of improving robustness and recognition efficiency.

Inactive Publication Date: 2016-09-21
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a day-night switching detection algorithm based on video sequence image feature analysis, which can effectively solve the problem of low detection accuracy in the early morning and dusk periods of the existing video surveillance system

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  • Day-night switching detection algorithm based on video sequence image characteristic analysis
  • Day-night switching detection algorithm based on video sequence image characteristic analysis
  • Day-night switching detection algorithm based on video sequence image characteristic analysis

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with specific examples.

[0028] Such as figure 1 As shown, the day and night switching detection algorithm based on video sequence image feature analysis described in this embodiment includes the following steps:

[0029] 1) During the day-night switching detection process, the judgment object is selected as the feature representing the change of light intensity—the brightness value of the image pixel. The brightness value of the pixel in this algorithm refers to the average value of each RGB component in the RGB color space, expressed as follows:

[0030] I=0.3R+0.59G+0.11B

[0031] 2) Take the pixels within the range of the road surface as the observation objects, and obtain the average brightness values ​​of multiple brightness detection areas, expressed in the form of vectors:

[0032] V It =(I t1 , I t2 ,...,I ti )

[0033] In the formula, V It Indicates the brightness value vector at ti...

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Abstract

The invention discloses a day-night switching detection algorithm based on video sequence image characteristic analysis. The day-night switching detection algorithm is characterized in that (1) during a day-night switching detection process, image pixel point luminance values, which are used to represent an illumination intensity change characteristic, are selected to be determining objects; (2) pixel points in a road surface range are used as observed objects, and an average luminance value of a plurality of luminance detection areas is acquired; (3) conditions of illumination changes are counted and calculated, and when the duration of the conditions reaches the requirement, last determination of a current environment condition is carried out. The day-night switching detection algorithm is advantageous in that the monitoring environment is effectively identified, and then different detection modes are adopted according to different environments in order to achieve the best effect; the efficiency of identifying the day mode and the night mode of the video monitoring system is improved, and then the problem of the low accuracy of the monitoring system caused by the fast change of the illumination intensity before dawn and at dusk is solved, and therefore the robustness of the video monitoring system is greatly improved.

Description

technical field [0001] The invention relates to the technical field of real-time monitoring of expressways, in particular to a day-night switching detection algorithm based on video sequence image feature analysis. Background technique [0002] At present, there are many mature and stable and reliable algorithms in image processing to obtain targets, but they have not been widely used in expressway monitoring. The main reason is that the expressway monitoring environment is complex and changeable. It is very different from the standard and ideal environmental conditions adopted by the research algorithm. Algorithms with good test results under laboratory conditions are greatly discounted in practical applications. The existing technology does not have an algorithm for identifying complex environmental conditions on expressways, and there is no targeted algorithm for complex environmental conditions. In fact, Algorithms that are applicable to general environments are difficu...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/48G06V20/52
Inventor 符锌砂王祥波朱振杰曾彦杰
Owner SOUTH CHINA UNIV OF TECH
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