An intelligent video smoky vehicle detection method based on multi-feature fusion

A technology of multi-feature fusion and detection method, applied in the field of intelligent video black smoke vehicle detection based on multi-feature fusion

Active Publication Date: 2018-12-25
SOUTHEAST UNIV
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  • An intelligent video smoky vehicle detection method based on multi-feature fusion
  • An intelligent video smoky vehicle detection method based on multi-feature fusion
  • An intelligent video smoky vehicle detection method based on multi-feature fusion

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Embodiment Construction

[0100] The present invention provides an intelligent video smoky car detection method based on multi-feature fusion, the flow chart of which is as follows figure 1 As shown, follow the steps below:

[0101] Step 1: Use the foreground detection algorithm to extract the moving target from the road surveillance video, and identify the vehicle target;

[0102] Step 2: Use integral projection and filtering technology to detect the rear position of the vehicle;

[0103] Step 3: Extract the statistical features, frequency domain features and some manual features of the area behind the rear of the car, and fuse them to form a feature vector;

[0104] Step 4: Use the BP network classifier to classify the proposed feature vectors to identify the smoky frame and further identify the smoky car.

[0105] The foreground detection algorithm in the step 1 adopts the following process:

[0106] Step 1.1: Initialize the background I using the following formula back (t),

[0107]

[0108...

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Abstract

The invention discloses an intelligent video smoke vehicle detection method based on multi-feature fusion, which comprises the following steps: (1) extracting a moving target from a road monitoring video by using a foreground detection algorithm, and identifying the vehicle target; (2) detecting the rear position of the vehicle by means of integral projection and filtering technology; (3) extracting the statistical features, frequency domain features and some manual features from the rear area of the vehicle, and fusing them to form a feature vector; (4) a BP network classifier being used to classify the feature vectors and recognize the smoke frames, so as to further identify the smoky vehicles. The invention can improve robustness and detect smoky vehicles more effectively.

Description

technical field [0001] The invention relates to the technical field of pyrotechnic detection, in particular to an intelligent video smoky car detection method based on multi-feature fusion. Background technique [0002] Accelerate the construction of motor vehicle pollution monitoring platforms in the region, focusing on the treatment of heavy-duty diesel vehicles and high-emission vehicles. The usual performance of heavy-duty diesel vehicles and high-emission vehicles is thick black smoke from the vehicle exhaust, which we usually call smoky vehicles. The smoky tail gas emitted by smoky vehicles not only pollutes the air, but also damages human health. Therefore, it is very meaningful to study how to effectively detect smoky vehicles. [0003] The current methods for detecting smoky vehicles can be divided into three categories: [0004] (1) Traditional methods. For example, mass reporting, regular road inspections, night inspections and manual video surveillance. Trad...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06N3/08
CPCG06N3/084G06V20/42G06V20/46G06V20/52G06V20/584G06V10/245
Inventor 路小波陶焕杰
Owner SOUTHEAST UNIV
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