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Urban moving vehicle behavior recognition method based on machine vision

An urban environment and machine vision technology, applied in the field of visual navigation, can solve problems such as limited application scope, insufficient robustness of behavior recognition methods, and failure to achieve a high behavior recognition rate, achieve fast execution speed, avoid indistinguishable areas, and The effect of high accuracy

Inactive Publication Date: 2017-06-20
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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  • Urban moving vehicle behavior recognition method based on machine vision
  • Urban moving vehicle behavior recognition method based on machine vision
  • Urban moving vehicle behavior recognition method based on machine vision

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Embodiment Construction

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

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

[0033] Step 1: Vehicle Object 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 later 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 trajectory of the vehicle target to realize the behavior understanding of the vehicle target. In traffic surveillan...

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Abstract

The invention provides an urban moving vehicle behavior recognition method based on machine vision. Through the target detection, target tracking, feature extraction and behavior recognition of a moving vehicle, the method obtains a vehicle behavior analysis result. The method comprises the steps: firstly completing the vehicle target detection through a vehicle target detection method of a background differencing method; secondly carrying out the tracking of a detected vehicle target through an optical flow method; thirdly obtaining a track of the vehicle according to the basic behavior features of a vehicle movement track after tracking; finally carrying out the recognition of the movement track through employing the trained SVM classifier, and judging whether the behavior is left turning, right turning or straight movement. The method is high in execution speed, is high in accuracy, can achieve the accurate recognition of the behaviors of the vehicle, and is used for vehicle real-time monitoring of an intelligent traffic monitoring system.

Description

technical field [0001] The invention belongs to the technical field of visual navigation, and in particular relates to a machine vision-based method for recognizing vehicle behavior in urban environments. 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, natural biological species recognition, traffic safety and other research fields have been widely used. [0003] Moving object detection is not only a core technology in machine vision systems, but also an indispensable part in various fields such as image processi...

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Application Information

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Patent Type & Authority Applications(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