A smoky car detection method based on a single frame image

A detection method and frame image technology, which is applied in the field of image processing and firework detection, can solve the problem of not being able to apply to a single frame, and achieve the effects of classification and recognition, strong robustness and discrimination, and reduced false alarm rate

Active Publication Date: 2021-11-19
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

Such methods use computer vision technology to automatically detect smoky vehicles from massive road surveillance videos, and have many advantages, but such methods are still in the initial stage of research, and these methods cannot be applied to single-frame situations

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  • A smoky car detection method based on a single frame image
  • A smoky car detection method based on a single frame image
  • A smoky car detection method based on a single frame image

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Embodiment Construction

[0052] The technical solutions provided by the present invention will be described in detail below in conjunction with specific examples. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0053] A smoky car detection method based on a single frame image, its flow chart is as follows figure 1 As shown, follow the steps below:

[0054] Step 1: Convert a single-frame color image into a grayscale image, and divide it into several small squares on average; in this step, the strategy of image segmentation is introduced.

[0055] Step 2: For each small square region, extract discriminative complete local binary pattern (disCLBP) feature or discriminative non-redundant local binary pattern (disNRLBP) feature, which is used to describe the texture information of the small square region.

[0056] Specifically, the computation of discriminative complete loc...

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Abstract

The invention provides a method for detecting smoky vehicles based on a single-frame image, which includes: converting a single-frame color image into a grayscale image, and dividing it into several small squares on average; Binary pattern features or discriminative non-redundant local binary pattern features; for each small square region, extract gradient position direction histogram features; for each small square region, extract local fractal features; normalize different types of Features, and concatenated to form the final feature vector, use the SVM classifier to classify the proposed feature vector, identify the small square with smoke, and make a judgment on whether there is a black smoke car in the current frame. The present invention introduces various features, so that the information expression is both sufficient and discriminative, more conducive to classification and recognition, and has stronger robustness and discriminative properties. The recognition rate is further improved and the false alarm rate is reduced.

Description

technical field [0001] The invention belongs to the technical field of image processing and pyrotechnics detection, and relates to a method for detecting a smoky vehicle, more specifically, a method for detecting a smoky vehicle based on a single-frame image. Background technique [0002] Smoky vehicles are highly polluting motor vehicles, mainly powered by diesel fuel, and are commonly seen in large trucks and engineering vehicles. Their smoky exhaust seriously pollutes the air and endangers human health. [0003] At present, the methods of smoky vehicle detection can be roughly divided into two categories: traditional methods and intelligent methods. The first category of traditional methods is divided into public reporting, regular road inspections, night inspections, manual video surveillance, installation of vehicle exhaust analysis devices, sensor detection, etc. This type of method is inefficient and consumes a lot of manpower and financial resources. For example, th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V20/54G06V10/40G06V10/50G06V10/467G06V2201/08G06F18/2411G06F18/253
Inventor 路小波陶焕杰
Owner SOUTHEAST UNIV
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