Multi-target vehicle trajectory recognition method based on video tracking

A vehicle trajectory and recognition method technology, applied in character and pattern recognition, image data processing, instruments, etc., can solve the problems of limited accuracy and speed of vehicle trajectory extraction

Active Publication Date: 2020-04-10
NORTHEASTERN UNIV
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a multi-target vehicle trajectory recognition method based on video tracking, which not only solves the problem of multi-target vehicle trajectory extraction accuracy, but also has good real-time It solves the problem of limited accuracy and speed of vehicle trajectory extraction based on existing deep learning methods

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  • Multi-target vehicle trajectory recognition method based on video tracking
  • Multi-target vehicle trajectory recognition method based on video tracking
  • Multi-target vehicle trajectory recognition method based on video tracking

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[0044] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0045] Such as figure 1 As shown, the method of this embodiment is as follows.

[0046] The invention provides a multi-target vehicle track recognition method based on video tracking, comprising the following steps:

[0047] Step 1: Collect monitoring video images, perform preparatory work before tracking, and set related parameters, which include improved YOLO v3 algorithm parameter initialization and confidence threshold setting;

[0048] Step 2: If figure 2 As shown, according to the video image, the YOLO v3 algorithm is used to obtain all the vehicle targets to be tracked in the image, and the detected N vehicles are used as the tracking targets, and the Q-th frame...

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Abstract

The invention provides a multi-target vehicle trajectory recognition method based on video tracking, and relates to the technical field of video monitoring. The method comprises the following steps: step 1, acquiring a monitoring video image, and setting related parameters; 2, acquiring all vehicle targets to be tracked in the image by adopting a YOLOv3 algorithm according to the video image, taking the detected N vehicles as tracking targets to obtain a Qth frame target frame set SQ of the N vehicles, and establishing a track set L = {L1, L2, L3,..., LN} by taking the central point of the target vehicle as a track recording point; and 3, carrying out vehicle target detection by adopting an improved YOLO v3 algorithm to obtain a target frame set SQ + 1 of Q + 1 frames, repeating the step until the collected monitoring video images are completely detected, and outputting a final track set L '. The method not only solves the problem of multi-target vehicle trajectory extraction precision, but also has good real-time performance, and also solves the problem that the existing vehicle trajectory extraction precision and speed based on a deep learning method are limited.

Description

technical field [0001] The invention relates to the technical field of video monitoring, in particular to a multi-target vehicle track recognition method based on video tracking. Background technique [0002] With the continuous improvement of transportation facilities and the improvement of people's living standards, there are more and more vehicles on the road, and traffic safety problems also follow. Among many sources of traffic information, the video data based on surveillance cameras has the characteristics of uninterrupted, intuitive, and high reliability. Therefore, the method of vehicle trajectory recognition based on surveillance video is one of the important means to judge whether the dynamic process of vehicles is standardized. one. In addition, vehicle trajectory recognition has been applied in other fields and industries today, such as in automotive assisted driving systems. In harsh environments such as low visibility, vehicle trajectory recognition can remin...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/246
CPCG06T7/246G06T2207/10016G06T2207/30232G06T2207/30241G06T2207/20081G06T2207/20084G06V20/41G06V20/54G06V2201/08Y02T10/40
Inventor 宫俊刘聪王陈浩郭栋任航
Owner NORTHEASTERN UNIV
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