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An Intelligent Video Smoky Vehicle Detection Method Based on Contour Analysis

A technology of contour analysis and detection method, which is applied in image analysis, image enhancement, instruments, etc., to achieve the effects of improving law enforcement efficiency, convenient installation, and reducing false alarm rate

Active Publication Date: 2021-07-27
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an intelligent video smoky car detection method based on contour analysis, which can make up for the inefficiency of traditional manual monitoring of smoky cars, reduce the false alarm rate, and the algorithm has more obvious advantages in windy weather

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  • An Intelligent Video Smoky Vehicle Detection Method Based on Contour Analysis
  • An Intelligent Video Smoky Vehicle Detection Method Based on Contour Analysis
  • An Intelligent Video Smoky Vehicle Detection Method Based on Contour Analysis

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Embodiment Construction

[0078] The present invention provides an intelligent video smoky car detection method based on contour analysis, the flow chart of which is as follows figure 1 As shown, follow the steps below:

[0079] Step 1: Use the foreground detection algorithm to extract the moving target from the road surveillance video;

[0080] Step 2: Remove non-vehicle targets and track vehicle targets;

[0081] Step 3: Extract the contour behind the vehicle target, calculate a series of static features and dynamic features based on the contour, and fuse them to form a feature vector;

[0082] Step 4: Use the SVM classifier to classify the feature vectors of each frame, identify the smoky car through multi-frame analysis, and automatically retain evidence such as the license plate, passing location, and passing time of the smoky car.

[0083] The foreground detection algorithm in the step 1 adopts the Vibe background difference algorithm.

[0084] The removal of non-vehicle targets in the step 2 ...

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Abstract

The invention discloses an intelligent video smoky car detection method based on contour analysis, which comprises the following steps: (1) using a foreground detection algorithm to extract a moving target from a road monitoring video; (2) removing non-vehicle targets, and Carry out tracking; (3) extract the outline behind the vehicle target, calculate a series of static features and dynamic features based on the outline, and fuse them to form a feature vector; (4) use the SVM classifier to classify the feature vectors proposed for each frame, and use multiple Frame analysis to identify smoky cars, and automatically retain evidence such as the license plate, passing location, and passing time of the smoky car. It can make up for the inefficiency of traditional manual monitoring of smoky vehicles, reduce the false alarm rate, and the algorithm has more obvious advantages in windy weather.

Description

technical field [0001] The invention relates to the technical field of smoke and fire detection, in particular to an intelligent video black smoke vehicle detection method based on contour analysis. Background technique [0002] A smoky vehicle is a highly polluting vehicle that emits thick black smoke from the tailpipe of the vehicle. The pollution of smoky vehicles has always been the focus and difficulty of motor vehicle environmental protection. Particulate matter (PM) in black smoke not only pollutes the air, but also causes damage to the respiratory tract and lungs of those who come into contact with it, and damages human health. Therefore, timely detection of smoky vehicles and further processing will help improve urban air quality. [0003] At present, the methods for detecting smoky vehicles can be roughly divided into two categories: (1) traditional methods. Traditional methods mainly include: reporting by the masses, regular road inspections, night inspections,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/246G06K9/46G06K9/62G06T7/194
CPCG06T7/194G06T7/246G06T2207/10016G06V10/44G06F18/2411G06F18/214
Inventor 路小波陶焕杰
Owner SOUTHEAST UNIV
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