Expressway traffic flow counting method
A technology of expressway and counting method, which is applied to traffic control systems of road vehicles, vehicle components, closed-circuit television systems, etc., can solve problems such as affecting the accuracy of vehicle detection, incomplete extraction of moving vehicles, and unsatisfactory update effects. The effect of good real-time performance, alleviation of traffic congestion and cost reduction
Inactive Publication Date: 2018-12-18
江苏云光智慧信息科技有限公司
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[0003] The traditional method of extracting moving objects is the background difference method, which uses the weighted average method to update the background. The update effect is not ideal, resulting in incomplete extraction of moving vehicles, which affects the accuracy of vehicle detection.
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[0015] The following describes the implementation of the present invention through specific examples. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementations. , the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention.
[0016] It should be noted that the diagrams provided in this embodiment are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the schematic diagrams, and the layout of the components may be more complex during actual implementation. complex.
[0017] The expressway vehicle flow counting method provided by the invention comprises the following steps:
[0018...
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The invention provides an expressway traffic flow counting method. The expressway traffic flow counting method is mainly characterized by comprising the following steps of step one, arranging detection areas at fixed positions on two sides of a lane in an expressway monitoring area; step two, collecting and preprocessing video data of the monitoring area; step three, carrying out background modeling through a Gaussian mixture model, and separating background pixels from an original image; step four, extracting a moving object from a monitoring video image; step five, recording track information of the moving object in order to recognize vehicle information, and marking the vehicle information; and step six, tracking and counting the marked vehicle in order to compute the traffic flow. According to the expressway traffic flow counting method provided by the invention, through real-time monitoring of the road traffic flow, the vehicle on the road surface can be comprehensively, accurately and efficiently detected, tracked and counted in real time; the method can be applied to complex scenes; and the method has high detection accuracy, good real-time performance and important application value.
Description
technical field [0001] The invention belongs to the technical field of security monitoring, in particular to a method for counting traffic flow on expressways. Background technique [0002] With the rapid development of modern economy, expressway transportation has become an important mode of transportation in the transportation industry. In order to ensure smooth traffic and driving safety, thereby improving environmental quality, traffic flow detection on expressways is particularly important. The existing traffic flow detection methods in current traffic are mainly divided into three parts: extracting moving targets from image sequences, identifying the extracted targets and counting vehicles. [0003] The traditional method for extracting moving objects is the background difference method, which uses the weighted average method to update the background, but the update effect is not ideal, resulting in incomplete extraction of moving vehicles, which affects the accuracy ...
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IPC IPC(8): G08G1/065H04N7/18H04W4/029H04W4/40
CPCG08G1/065H04N7/18H04W4/029H04W4/40
Inventor 胡晓晖张宇徐加兴
Owner 江苏云光智慧信息科技有限公司