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A machine vision-based method for vehicle behavior recognition in urban environment

An urban environment and machine vision technology, applied in the field of visual navigation, can solve the problems of limited scope of application, insufficient robustness of behavior recognition methods, failure to achieve high behavior recognition rate, etc., achieve fast execution speed, avoid the problem of indivisible regions, The effect of high accuracy

Inactive Publication Date: 2019-09-24
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0005] At present, intelligent monitoring technology has shortcomings in the robustness of target detection, feature extraction and behavior recognition methods, the scope of application is limited, and a high behavior recognition rate has not been achieved. Therefore, research on feature extraction and behavior recognition of moving targets has It is a hot issue in intelligent security system

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  • A machine vision-based method for vehicle behavior recognition in urban environment
  • A machine vision-based method for vehicle behavior recognition in urban environment
  • A machine vision-based method for vehicle behavior recognition in urban environment

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Embodiment Construction

[0031] The present invention will be further described below in conjunction with the drawings and embodiments. The present invention includes but is not limited to the following embodiments.

[0032] The present invention provides a method for recognizing the behavior of vehicles in urban environment based on machine vision. The basic flow chart is as follows: figure 1 As shown, it specifically includes the following steps:

[0033] Step 1: Vehicle target detection and tracking

[0034] Vehicle target detection refers to the separation of vehicle targets from video sequence images. The detection results of vehicle targets directly affect the subsequent stages of vehicle target tracking, behavior feature extraction and behavior classification. Vehicle target tracking is to obtain the motion parameters (such as position, speed, etc.) and motion trajectory of the vehicle target, so as to realize the understanding of the behavior of the vehicle target. In traffic monitoring videos, fac...

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Abstract

The invention provides a machine vision-based method for recognizing vehicle behavior in an urban environment. The vehicle behavior analysis result is obtained by performing target detection, target tracking, feature extraction and behavior recognition on moving vehicles. First, use the vehicle target detection method of the background difference method to complete the vehicle target detection; then use the optical flow method to track the detected vehicle target; after the tracking is completed, obtain the vehicle trajectory according to the basic behavior characteristics of the vehicle trajectory; finally use the training A good SVM classifier recognizes the driving trajectory to determine whether the behavior is a left turn, a right turn, or a straight line. The method of the invention has fast execution speed and high accuracy, can realize accurate identification of vehicle behavior, and is used for real-time monitoring of vehicles in an intelligent traffic monitoring system.

Description

Technical field [0001] The invention belongs to the technical field of visual navigation, and particularly relates to a method for recognizing vehicle behavior in urban environments based on machine vision. Background technique [0002] At present, machine vision is developing rapidly in the field of artificial intelligence, and has broad application prospects in theoretical science and engineering applications. The research of machine vision systems includes several key issues such as target detection, image feature extraction, and behavior recognition. Medical dynamic imaging, image retrieval, multimedia information processing and communication, fingerprint and face recognition, image processing and preprocessing, biological species recognition in nature, traffic safety and other research fields have been widely used. [0003] Moving target detection is not only a core technology in machine vision systems, but also an indispensable part in various fields such as image processing,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/254G06K9/00
CPCG06T2207/20081G06T2207/10016G06V20/52
Inventor 聂烜袁占斌郭洲杜童童曹蓓马松辉
Owner NORTHWESTERN POLYTECHNICAL UNIV