Multi-video-frame black smoke diesel vehicle detection method and system based on space-time optical flow network

Abstract

The invention discloses a multi-video-frame black smoke diesel vehicle detection method and system based on a space-time optical flow network, and the method comprises the steps: carrying out the key frame extraction and processing of a video containing a detection target based on an obtained video; establishing a model required for detecting the black smoke diesel vehicle, and training the model; analyzing the relation between continuous video frames by using an improved LK space-time optical flow network, capturing and segmenting a video dynamic region, and screening out a suspected black smoke region; inputting the framed region which is suspected to contain the black smoke into a trained target detection model, and carrying out secondary detection; and if the black smoke is finally detected, carrying out frame selection on the diesel vehicles discharging the black smoke, and outputting a detection result. According to the invention, through the LK optical flow network, the space-time relation among the continuous multiple video frames is established, the dynamic area is quickly and efficiently selected, the identification and false detection of non-black smoke images in the static area are effectively reduced, and through the end-to-end target detection model, the accuracy and high efficiency of video black smoke detection are ensured.

Description

technical field [0001] The invention relates to the technical field of environmental detection, in particular to a multi-video frame black-smoky diesel vehicle detection method and system based on a spatio-temporal optical flow network. Background technique [0002] Since the 21st century, the number of motor vehicles in my country has increased rapidly, and the problem of air pollution caused by mobile sources has become increasingly significant. The number of gasoline vehicles in urban areas is increasing rapidly. At the same time, there are also a large number of diesel vehicles emitting black smoke in suburban areas, causing serious environmental pollution problems. The black smoke exhaust gas emitted by diesel vehicles contains about 200 different compounds, which is one of the main causes of fine particulate matter and photochemical smog pollution. Considering the mileage and emission coefficient of diesel vehicles comprehensively, the nitrogen oxide and fine particle...

AI Technical Summary

Problems solved by technology

[0009] A multi-video frame black smoke diesel vehicle detection method and system based on spatio-temporal optical flow network proposed by the present invention can solve the shortcomings of traditional smoke detection algorithms in accuracy and real-time performance in complex dynamic scenes, while taking into account continuous The connection between video frames and the dynamic characteristics of smoke provide a real-time black smoke detection algorithm suitable for complex traffic road scenes under different weather conditions

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