Microwave and video data fusion-based traffic detection method and device

Abstract

The invention discloses a microwave and video data fusion-based traffic detection device. The microwave and video data fusion-based traffic detection device comprises a video sensor, a microwave sensor, an A / D conversion module, a processor module, a network communication module, a traffic flow parameter data fusion module, a traffic flow management platform, a target tracking module and a traffic event and information management platform. The invention also discloses a microwave and video data fusion-based traffic detection method. According to the method, the device is adopted to realize information complementation and data fusion. With the device of the invention adopted, the reliability of a system can be improved, the accurate estimation of the position of a target can be provided, more accurate data can be obtained, and powerful parameters can be provided for relevant departments. According to the microwave and video data fusion-based traffic detection method, after the microwave sensor detects some traffic behaviors which are inputted into a database, the video sensor is controlled to take pictures, and then, whether obtained data are matched with the data of the database is analyzed, an alarm is given, and therefore, false alarm rate can be reduced, human and material resources can be reduced, and intelligent detection can be realized actually.

Description

technical field [0001] The invention belongs to the field of intelligent transportation, and more specifically, the invention relates to a traffic detection method and device based on microwave and video data fusion. Background technique [0002] There are three main methods of data fusion: data level, feature level and decision level fusion. Data-level fusion refers to the fusion of any information that requires the fused sensor data to have a matching accuracy of one pixel in the fusion algorithm; feature-level fusion refers to extracting features from the original data provided by each sensor, and then fusing these Features; decision-level fusion means that each sensor data source is transformed and an independent identity estimate is obtained before fusion. [0003] The data fusion process includes multi-sensor target detection, data association, tracking and recognition, situation estimation and merging. Data fusion is the synthesis of incomplete information about cer...

AI Technical Summary

Problems solved by technology

The disadvantage is that it is limited by the on-site lighting conditions, the real-time performance of the current image processing is poor, and the detection accuracy is limited by the software and hardware of the entire system

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