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Expressway illegal parking detection method based on kernel density estimation

A technology for kernel density estimation and illegal parking, applied in computing, computer components, traffic control systems of road vehicles, etc., to achieve high accuracy, good real-time performance, and strong robustness

Active Publication Date: 2016-04-20
KUNMING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, there are very few research results in this field at home and abroad.

Method used

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  • Expressway illegal parking detection method based on kernel density estimation
  • Expressway illegal parking detection method based on kernel density estimation
  • Expressway illegal parking detection method based on kernel density estimation

Examples

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Embodiment 1

[0022] Example 1: as figure 1 As shown in Fig. 1, a method for detection of illegal parking on highways based on kernel density estimation, first uses a non-parametric kernel density model for background extraction to obtain a background image; then updates the background image using a gradient update method to obtain an updated background image; Subtract the background image from the currently collected image to obtain the moving foreground; then calibrate the position of the center of mass of the moving target vehicle; then track the target vehicle and measure the distance between the centers of mass; when the distance between the centers of mass decreases continuously, it means entering the deceleration process; in the target vehicle After entering the deceleration process, judge its running state; when the running state is in a static state, calculate the illegal parking time; finally determine whether it is illegal parking according to the illegal parking time.

[0023] T...

Embodiment 2

[0037] Example 2: as figure 1 As shown in Fig. 1, a detection method for illegal parking on highways based on kernel density estimation, firstly, a non-parametric kernel density model is used for background extraction to obtain a background image; then, the background image is updated using a gradient update method to obtain an updated background image; Subtract the background image from the currently collected image to obtain the moving foreground; then calibrate the position of the center of mass of the moving target vehicle; then track the target vehicle and measure the distance between the centers of mass; when the distance between the centers of mass decreases continuously, it means entering the deceleration process; in the target vehicle After entering the deceleration process, judge its running state; when the running state is in a static state, calculate the illegal parking time; finally determine whether it is illegal parking according to the illegal parking time.

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Abstract

The invention relates to an expressway illegal parking detection method based on kernel density estimation and belongs to the field of image processing. The expressway illegal parking detection method comprises the following steps: firstly, carrying out background extraction by adopting a non-parameter kernel density model to obtain a background image; secondly, updating the background image by adopting a gradually-changed updating manner to obtain an updated background image; removing the background image from a currently acquired image to obtain a movement foreground; thirdly, calibrating positions of mass centers of a movable target vehicle; then tracking the target vehicle and measuring the distance between the mass centers; when the distance between the mass centers is gradually reduced, representing that the target vehicle enters a speed reduction process; after the target vehicle enters the speed reduction process, judging a movement state of the target vehicle; when the movement state is a static state, calculating illegal parking time; finally, determining whether the target vehicle is illegally parked or not according to the illegal parking time. The expressway illegal parking detection method provided by the invention can be used for monitoring a monitored scene in real time and alarming in time when the vehicle is illegally parked; the processing speed is rapid and the accuracy of alarming is improved; the expressway illegal parking detection method has the characteristics of good instantaneity, high robustness, high accuracy and the like.

Description

technical field [0001] The invention relates to a method for detecting illegal parking on expressways based on kernel density estimation, which belongs to the field of image processing. Background technique [0002] With the rapid development of modern expressway construction technology, the number of cars in cities is increasing day by day, which also brings many problems at the same time. Illegal parking, as one of the problems to be solved urgently, has attracted the attention of the traffic management department. The traditional detection of illegal parking is mainly through manual supervision by the traffic police at fixed points, which is inefficient and unable to realize real-time monitoring, which greatly wastes the manpower and material resources of relevant departments. In recent years, the method of illegal parking detection and recognition based on surveillance video has received more and more attention. This method has the advantages of high accuracy, good real...

Claims

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Application Information

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IPC IPC(8): G08G1/017G06K9/00
CPCG08G1/0175G06V20/584
Inventor 吴建德李月王晓东范玉刚黄国勇邹金慧冷婷婷张馨予李富玉熊新冯早
Owner KUNMING UNIV OF SCI & TECH
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