Traffic flow visual inspection method

Abstract

The invention discloses a traffic flow visual inspection method. Traffic scene image sequences are acquired through electronic monitoring in real time, a traffic scene weather condition environment is sensed by an illumination intensity sensor, a temperature sensor and a humidity sensor, daytime/night, fine day/rainy day/normal day and other weather conditions are judged, and illumination and shadow pretreatment is performed correspondingly. Running distances are restrained according to traffic rules, meanwhile lane departure phenomenon caused by overtaking and passing-by in the actual vehicle running is considered, double virtual lines are arranged at the same horizontal positions of all of lanes within a monitoring range in images, vehicle positions are quickly detected and positioned by utilizing double-template matching convolution in a double virtual line detecting region, 'one-to-more' and 'more-to-one' phenomena are eliminated, and wrong detection and wrong judgment are decreased. Intervals of vehicles in the horizontal direction and the vertical direction are judged and identified, vehicle target positions are restrained according to the horizontal and vertical position information of the vehicles and correctly positioned, normally running vehicles are counted, traffic flow statistic is performed, and the problem of inaccurate traffic flow counting is solved. The traffic flow visual inspection method has high detecting accuracy and good anti-interference performance and real-timeliness.

Description

technical field [0001] The invention belongs to the field of image processing and pattern recognition, and relates to a traffic flow visual detection method. Background technique [0002] With the rapid increase of car ownership year by year, traffic congestion has become one of the most serious "urban diseases" faced by Chinese cities. The key to alleviating traffic pressure and improving traffic management and traffic planning is to establish and improve the Intelligent Transportation System (ITS). Among them, the detection and estimation of traffic flow provides ITS with decision-making basic data, which is one of the important technologies and information that intelligent transportation systems need to consider. [0003] At present, the commonly used traffic flow detection methods include acoustic wave recognition detection, ground induction coil detection, geomagnetic coil detection, and video recognition detection methods. The detection method based on the acoustic wa...

AI Technical Summary

Problems solved by technology

Utilize the constraints of traffic rules on the driving distance, and consider the phenomenon that the vehicle deviates from the lane due to overtaking and giving way in actual traffic, distinguish and identify whether there is any abnormality in the horizontal and vertical intervals of the vehicle, and use the horizontal and vertical position information of the vehicle Restrict, correctly locate the target position of the vehicle, count the normal driving vehicles, count the traffic flow, and solve the problem of inaccurate flow counting

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