Method for detecting traffic conflict between motor-assisted bicycle and automobile based on ST-MRF model

Abstract

The invention discloses a method for detecting traffic conflict between a motor-assisted bicycle and an automobile based on an ST-MRF model. The method includes the steps of a traffic camera taking three-dimensional video images, tracking single motor-assisted bicycle and automobile by using the ST-MRF model to obtain the traffic information of the single motor-assisted bicycle and automobile, converting the three-dimensional video images taken by the traffic camera into two-dimensional coordinate data through a coordinate conversion algorithm, predicting the parking points of the motor-assisted bicycle and the automobile in the next frame image, and establishing driver conflict determination criteria according to the distance between the parking points. A method for determining traffic between a red-light running motor-assisted bicycle and a normally driving automobile by tracking moving tracks of vehicles, and real-time and accurate traffic information for accident identification can be provided to a traffic management department.

Description

technical field [0001] The invention relates to a ST-MRF model-based method for detecting traffic conflicts between electric bicycles and automobiles. Background technique [0002] With the rapid growth of the number and coverage of urban video equipment and the improvement of computer image processing level, it has become a trend to apply video image processing technology to urban intelligent transportation systems. Transportation System Engineering and Information, 2013, Volume 13, Issue 3: pp. 65-70. Disclosed a study on an adaptive vehicle tracking algorithm based on ST-MRF (Zhou Jun, Cheng Lin), which is based on the ST-MRF model The adaptive vehicle tracking algorithm can obtain vehicle tracking data more accurately when the traffic volume is relatively large and vehicles are occluded from each other, which provides an important data basis for future traffic incident detection. [0003] In some small and medium-sized cities, due to the relatively dense population and ...

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Problems solved by technology

[0004] There is little research on traffic conflict detection between electric bicycles and cars in the prior art. Based on the weak research on traffic conflict detection for electric bicycles at urban intersections, this paper studies and proposes a set of traffic conflict detection methods suitable for small and medium-sized cities. A traffic conflict detection method between a vehicle and an electric bicycle running a red light, and the driver conflict judgment criterion is used in video image processing to judge the degree of conflict

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