Traffic video intelligent analysis method based on target detection and tracking

A target detection and intelligent analysis technology, applied in the field of intelligent transportation, can solve problems such as insufficient precision, limited traffic information obtained, poor visualization performance, etc., and achieve the effect of easy operation, stable work, and good adaptability

Active Publication Date: 2019-11-19
CHANGAN UNIV
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AI Technical Summary

Problems solved by technology

[0004] Aiming at the defects and deficiencies in the prior art, the present invention provides a traffic video intelligent analysis method based on target detection and tracking, which solves the problem that the accuracy of the traditional hardware detection method is not high enough, the acquired traffic information is limited and the visualization performance is poor, and there are Certain app bug issues

Method used

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  • Traffic video intelligent analysis method based on target detection and tracking
  • Traffic video intelligent analysis method based on target detection and tracking
  • Traffic video intelligent analysis method based on target detection and tracking

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Experimental program
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Embodiment 1

[0124] The embodiment adopts the monitoring video of China's G60 Hangjinqu Expressway, the video frame rate is 25FPS, and the video image size is 1920*1080.

[0125] figure 1 Shown is a frame image in the video image;

[0126] figure 2 For the establishment of the data set, in this embodiment, the vehicles are divided into three categories of "sedan", "bus" and "truck" for labeling;

[0127] image 3 is the result of vehicle target detection (the detected vehicle is framed by a rectangle);

[0128] Figure 5 For the data association method, the specific explanation is as follows:

[0129] Step 1: Process the data in the first column, find the optimal (minimum) metric value corresponding to the column in the first column, and find that the similarity metric values ​​in the correlation matrix are all 1, which is greater than the threshold value of 0.5, so mark this track with the current The detection target matching failed. The possible reason is that the target was bloc...

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Abstract

The invention discloses a traffic video intelligent analysis method based on target detection and tracking. The method specifically comprises the following steps: using highway videos acquired by using monitoring cameras; detecting vehicle target detection by using a deep learning method, acquiring target tracks by using a multi-target tracking method according to a detection result, automaticallyanalyzing the target tracks acquiring traffic flow and vehicle speed, detecting traffic congestion and parking traffic abnormal events and completing intelligent analysis of traffic videos. Vehiclescan be detected and tracked for a long time in a visual field range, so that traffic parameters are accurately obtained, and traffic events are detected. The invention provided by the invention has high stability when being used in various traffic scenes, and has certain practical value and wide market potential.

Description

technical field [0001] The invention belongs to the field of intelligent transportation, and in particular relates to an intelligent analysis method of traffic video based on target detection and tracking. Background technique [0002] Intelligent transportation and smart city have become hot topics in recent years. Due to the continuous development of my country's economy, vehicles have become an indispensable tool for residents' daily travel and transportation. However, the increase of vehicles has caused road congestion and environmental pollution, which has brought enormous pressure to relevant management departments. Therefore, it is very necessary to use computer vision technology to intelligently analyze traffic videos, intelligently manage vehicles, and automatically obtain traffic data and abnormal traffic events. Using computer vision technology to intelligently analyze traffic monitoring video, release relevant vehicle traffic data and events to relevant control ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/48G06V20/41G06V20/46G06V2201/08
Inventor 宋焕生梁浩翔李莹李怀宇云旭戴喆侯景严武非凡唐心瑶张文涛孙士杰雷琪
Owner CHANGAN UNIV
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