Switching method between videos for detecting vehicles during day-night

Abstract

A method for switching between day and night video vehicle detection belongs to the technical field of intelligent transportation. The method of the invention obtains the characteristic information of the road brightness change rate from the digital image by setting a running area that can cover each lane of the whole road, and judges when to switch between day and night detection methods based on this. In addition, this method divides the time of a day into four stages: morning, day, evening and night, and sets two transition periods of sunrise and sunset with the sunrise and sunset time as the reference point, and the switching method only operates during the transition period , through the strategy of complementary information fusion of multiple sensors, the problem of the detection rate reduction of the two vehicle detection methods during the day and night transition period is solved. The invention has the advantages of low computational complexity, good real-time performance, and accurate switching effect, and can solve the problem of low video vehicle detection rate in the transition period, and is suitable for switching day and night vehicle detection methods in various all-weather video vehicle detection systems.

Description

technical field [0001] The invention relates to a method for vehicle detection in the technical field of transportation, in particular to a method for switching between day and night video vehicle detection. Background technique [0002] With the development of the economy and the improvement of people's living standards, the growth rate of the number of vehicles far exceeds the speed of road infrastructure construction, and the contradiction between vehicles and roads has become increasingly prominent. Intelligent Transportation System (ITS) has been recognized as an effective way to solve problems such as road traffic congestion and frequent accidents, and to ensure smooth and safe traffic. Vehicle detection is the basic core problem of intelligent transportation system. Compared with traditional detectors, video vehicle detectors have many advantages such as convenient installation and maintenance, low cost, wide monitoring range, and more types of traffic parameters, so...

AI Technical Summary

Problems solved by technology

Its shortcomings are: for fixed video detection systems, the cameras are generally installed on road poles or other roadside buildings to monitor the road conditions below, and cannot obtain image information of the sky; No matter which of the two detection methods is adopted, the accuracy rate will be greatly reduced (that is, the method will fail), which will affect the decision-making and scheduling of the upper-level traffic management system.

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