A smoky car detection method based on gabor projection

A detection method, black smoke technology, applied in the field of computer vision, can solve the problems of reducing the false alarm rate, etc., to achieve the effect of reducing the false alarm rate, avoiding false detection, and increasing robustness

Active Publication Date: 2022-02-15
SOUTHEAST UNIV
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Problems solved by technology

[0005] In order to solve the above problems, the present invention discloses a method for detecting smoky cars based on Gabor projection, which can make up for the inefficiency of traditional manual monitoring of smoky cars, reduce the false alarm rate, and have certain robustness to shadows

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  • A smoky car detection method based on gabor projection
  • A smoky car detection method based on gabor projection
  • A smoky car detection method based on gabor projection

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Embodiment Construction

[0058] 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.

[0059] The present invention is an intelligent method for automatically analyzing and detecting smoky vehicles on monitoring video. It uses a high-definition camera installed on a road monitoring pole to collect real-time road monitoring video, and transmits it to the management platform through the network. Digital image processing, pattern recognition and Computer vision technology, according to the image characteristics of the radiation information of the visible light in the CCD (Charge-coupled Device) sensor, intelligently recognizes, automatically analyzes and extracts the key information of the "black smoke car" in the video source, with the help of the powe...

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Abstract

The invention discloses a black-smoky vehicle detection method based on Gabor projection, comprising: step 1: detecting a moving target from a vehicle monitoring video; step 2: using filter integral projection and data fitting to determine the position and size of a key area; step 3: Extract the Gabor projection features of the key areas of the vehicle based on the built model, and perform multi-sequence fusion to form the final feature vector; Step 4: Use the SVM classifier to classify the extracted feature vectors, identify black smoke frames, and further detect black smoke The technical scheme of the present invention can improve the monitoring efficiency of smoky vehicles. At the same time, the method of data fitting can be used to extract the key area, which can adaptively obtain the size of the key area and reduce the false alarm rate; and the Gabor projection feature proposed by the present invention It can reduce the interference of vehicle shadows and further reduce the false alarm rate of smoky vehicles.

Description

technical field [0001] The invention belongs to the technical field of computer vision and relates to a method for detecting black smoke vehicles based on Gabor projection. Background technique [0002] The "China Motor Vehicle Environmental Management Annual Report (2018)" issued by the Ministry of Ecology and Environment in 2018 pointed out that with the continuous rapid development of the world economy and the rapid increase in the number of urban motor vehicles, motor vehicle pollution has become an important source of environmental air pollution in my country. It is an important cause of fine particulate matter and photochemical smog pollution. The urgency of motor vehicle pollution prevention and control has become increasingly prominent. Among motor vehicle pollution, pollution from heavy-duty diesel vehicles is the top priority. Heavy-duty diesel vehicles, also known as smoky vehicles, usually refer to highly polluting vehicles that emit thick black smoke from the t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/40G06V20/58G06V10/764G06V10/80
CPCG06V20/42G06V20/584G06F18/2411G06F18/253
Inventor 路小波陶焕杰
Owner SOUTHEAST UNIV
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