Motor vehicle illegal parking monitoring method

Abstract

The motor vehicle illegal parking monitoring method comprises the following steps: 1) collecting images of high-altitude cameras in a large number of streets and data sets of other motor vehicles, calibrating the data sets according to on-site management requirements, and determining a used one-stage target detection algorithm model; 2) constructing a parameter self-adaptive loss function; 3) constructing a loss function LOSS of a one-stage target detection algorithm model; 4) updating the weight of the one-stage target detection algorithm model by adopting a gradient descent method until themodel converges; and enabling the trained model to complet detection of the motor vehicle in an actual system, and achieving illegal parking management of the motor vehicle in the street according tothe time and position relationship of the motor vehicle on site. The method has the advantages that the parameter adaptability of the illegal parking vehicle monitoring model can be improved, and theillegal parking vehicle monitoring accuracy is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of image recognition and computer vision, and relates to a method for monitoring illegal parking of motor vehicles. Background technique [0002] At present, for the detection of illegal parking of street motor vehicles, the traditional detection methods mainly include: micro-radar detection, infrared detection, geomagnetic induction coil detection and radio frequency identification technology. This type of method needs to install special sensing equipment at each location on the side of the street, the engineering cost is high, the later maintenance is difficult, and the cost of manpower and material resources is relatively high. Use the security camera in the existing street to identify motor vehicle illegal parking in the street area, no need to modify the street ground, and the equipment maintenance and repair are easy, so this video-based motor vehicle illegal parking detection system has a very good P...

AI Technical Summary

Problems solved by technology

Although the two-stage target detection model has better detection accuracy, its forward reasoning speed is slow and cannot meet the real-time requirements of business scenarios

In the traditional one-stage target detection algorithm model, the real-time performance of the algorithm is better, but it cannot reach the detection accuracy of the two-stage target detection algorithm model

There are a large number of street background objects in the image detection target. Although the loss value of the street background object is small, the number far exceeds that of the motor vehicle target. It is difficult for the traditional target detection method to obtain a higher recognition in this complex scene. accuracy, so there is an urgent need for a highly adaptive object detection method

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