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Video-based urban road traffic jam detecting system

A technology for road traffic and detection systems, applied in the field of image recognition, can solve the problems of large image recognition errors, being easily affected by the environment, and destroying traffic equipment.

Inactive Publication Date: 2016-04-20
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0005] In view of the above-mentioned prior art, the purpose of the present invention is to provide a video-based urban road traffic jam detection system, which aims to solve the problem that the existing video image system for traffic jam detection is easily affected by the environment, difficult to maintain, and damaged during installation. The original traffic equipment has technical problems such as poor real-time performance, low data accuracy and large image recognition errors

Method used

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  • Video-based urban road traffic jam detecting system

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Embodiment 8

[0229] Import two adjacent frames of traffic images, such as Figure 15 and 16 , the vehicle speed calculation process parameters are shown in Table 17. First, the fuzzyc-means algorithm is tested, and the data samples to be tested are processed. The clustering results are shown in Table 18. Category 1 is "smooth", category 2 is "mildly crowded", category 3 is "crowded" and category 4 is "severe congestion". The division of this level is based solely on the speed of motor vehicles on the main road, which is not objective; for example, when the vehicle is waiting for the traffic light, the speed is 0, but the traffic It must be in a crowded state, so this application also increases the main judgment basis parameters, that is, the road occupancy rate and the occupancy rate deviation square value. When detecting the congestion level, the obtained traffic parameters, that is, the road occupancy rate, the square value of the occupancy rate deviation and the clustering center, are...

Embodiment 9

[0231] 1. Using the fuzzy C-means clustering algorithm, the road occupancy and the square of the deviation of the road occupancy are clustered and divided into 4 categories. Since the same deviation square value corresponds to two (congested and unblocked) road occupancy values, the agreed condition of vehicle speed is added.

[0232] 2. According to the "Urban Traffic Management Evaluation Index System" issued by the Ministry of Public Security of my country in 2002, the average speed of motor vehicles on the main roads of cities is used to describe the degree of traffic congestion:

[0233] 1) Unimpeded: The average travel speed of motor vehicles on the main urban roads is not less than 30km / h;

[0234] 2) Slight congestion: the average travel speed of motor vehicles on the main urban road is lower than 30km / h, but higher than 20km / h;

[0235] 3) Congestion: the average travel speed of motor vehicles on the main urban road is lower than 20km / h, but higher than 10km / h;

[0...

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Abstract

The invention provides a video-based urban road traffic jam detecting system, relates to the image identification field, and is aimed at solving the technical problems that a present video image system for the traffic jam detection is affected by environment easily and is difficult to maintain, original transportation facilities are destroyed during the installation of the present video image system, the real-time capacity is bad, the data accuracy degree is low, and the image identification error is large. The video-based urban road traffic jam detecting system mainly comprises the steps of: reading a video and a pretreatment video so as to obtain a video frame; performing background modeling on the obtained video frame, obtaining a background frame sequence and a foreground frame sequence; detecting the foreground frame sequence with the same frame as the background frame sequence and extracting a moving target, and storing single frame foreground pictures according to the foreground frame sequence after the smoothing filtering treatment is carried out; sequentially playing the single frame foreground pictures according to the foreground frame sequence and performing filtering track on the moving target so as to obtain vehicle conditions in the road; and calculating and obtaining traffic parameters according to the vehicle conditions and / or the foreground frame sequence of the moving target. The video-based urban road traffic jam detecting system is used for constructing a traffic jam video detecting system with high accuracy.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a video-based urban road traffic jam detection system. Background technique [0002] Nowadays, the number of vehicles in cities is increasing day by day, and at the same time, the load on urban roads is also increasing. The speed of urban road planning is obviously lower than the speed of vehicle increase, and the contradiction between vehicles and roads is becoming increasingly prominent. Traffic congestion already exists in large and medium-sized cities, which not only harms urban roads, but also brings huge losses to society. Typically, traffic parameters include: road space occupancy refers to the ratio of the sum of the area of ​​all traffic vehicles on a road to the observed road surface within a certain period of time; vehicle speed refers to the distance traveled by vehicles on the road per unit time , when discussing traffic problems on the road, the average speed of ma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G06K9/00
CPCG08G1/0133G06V20/52
Inventor 李云霞康波杨红宇
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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