Method and system for judging traffic jams based on videos

A traffic congestion and video technology, applied in traffic control systems, road vehicle traffic control systems, traffic flow detection, etc., can solve the problem of high misjudgment rate of traffic congestion, inability to output traffic congestion, and inability to instantly realize background modeling And foreground extraction and other issues, to achieve the effect of improving accuracy, real-time and accuracy

Active Publication Date: 2016-02-17
QINGDAO HISENSE TRANS TECH
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AI Technical Summary

Problems solved by technology

[0008] The present invention provides a method for judging traffic congestion based on video, which solves the problem that the existing method for judging traffic congestion by video cannot realize background modeling and foreground extraction in real time, resulting in the failure to output traffic congestion for a long time and the high misjudgment rate of traffic congestion. technical issues

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  • Method and system for judging traffic jams based on videos
  • Method and system for judging traffic jams based on videos

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Embodiment 1

[0059] The displacement difference mentioned in this embodiment refers to the distance difference in the traveling direction of the vehicle.

[0060] A method for judging traffic congestion based on video, which regularly extracts frames from video data to obtain several frames of images, and each frame of images determines the same image detection area according to the detection lane; extracts feature points for vehicles in the image detection area, Describe the points; match the feature points of two adjacent frames of images, calculate the speed of the vehicle and the queue length of the next frame of images according to the matching results; set the relationship between the threshold L_Thr according to the queue length and length of the next frame of images, The relationship between the vehicle speed v calculated by the frame image and the speed setting threshold V_Thr determines that the next frame image is a smooth frame or a congested frame or a slow frame; the traffic c...

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Abstract

The invention discloses a method and system for judging traffic jams based on videos. Images are extracted from videos in a timed mode, feature points of each frame of image are extracted, the vehicle speed is calculated by utilizing the displacement difference of the feature points, the queuing length can be calculated according to the feature points, and the traffic jam conditions are judged according to the relations of the vehicle speed, the queuing length and a set threshold. Since the feature points can be extracted under any condition and are not subjected to influence of moving objects and environmental interference, e.g., the number of the feature points and the location of the feature points are not affected in various environments including shadow, rainy days and dusk, the traffic jam judging accuracy of the method is improved greatly. Moreover, the time consumption of programs is controlled by controlling the number of the feature points, and under general conditions, the consumed time can be saved by a half by utilizing the feature point detection compared with a background foreground method. Therefore, the real-time performance and accuracy of the method for judging traffic jams are improved greatly.

Description

technical field [0001] The invention relates to the technical field of video detection and image recognition, in particular to a method and system for judging traffic congestion based on video. Background technique [0002] As traffic congestion becomes more and more serious, timely and correct identification of road traffic congestion is the prerequisite for taking reasonable early warning measures and proactively avoiding traffic congestion. means. [0003] Video surveillance resources have been increasingly widely used in the traffic field, therefore, it is more advantageous to judge road traffic congestion through video detection technology. [0004] Existing methods for judging traffic congestion based on video generally use connected domain analysis to extract connected domains from foreground information, use the distance and area information of connected domains to identify vehicles, and then track vehicle targets to obtain vehicle speeds. When the vehicle speed is...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G06K9/46
CPCG08G1/0104G06V10/462G06V2201/08
Inventor 魏楠楠高洪波付文涛王光超
Owner QINGDAO HISENSE TRANS TECH
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