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A smoke 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 false alarm rate, etc., to achieve the effect of reducing false alarm rate, increasing robustness, and convenient installation

Active Publication Date: 2019-01-04
SOUTHEAST UNIV
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  • Claims
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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 smoke detection method based on Gabor projection
  • A smoke detection method based on Gabor projection
  • A smoke 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 smoke vehicle detection method based on Gabor projection, which comprises the following steps: 1, detecting a moving object from a vehicle monitoring video; 2, determining the position and the size of the key region by using filter integral projection and data fitting; 3, extracting the Gabor projection features of the key area of the vehicle based on the established model, and carrying out multi-sequence fusion to form a final feature vector; 4, classifying the feature vectors by use an SVM classifier to identify black smoke frames, thereby further detecting the black smoke truck and utilize the technical proposal of the invention to improve the monitoring efficiency of the black smoke truck; meanwhile, adopting a data fitting method to extract a key area can self-adaptively obtain the size of the key area and reduce the false alarm rate; The Gabor projection feature provided by the invention can reduce the interference of the vehicle shadow and furtherreduce the false alarm rate of the smoky vehicle.

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 Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/42G06V20/584G06F18/2411G06F18/253
Inventor 路小波陶焕杰
Owner SOUTHEAST UNIV
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