Vehicle counting method based on three-dimensional trajectory clustering

Abstract

The invention discloses a vehicle counting method based on three-dimensional trajectory clustering. The method specifically comprises steps of: acquiring a video image of a road by using a video camera, establishing a relation between a two-dimensional image coordinate and a three-dimensional world coordinate by using a vanishing point method, and acquiring a transfer matrix M; determining a detection line and a detection area in the video image and extracting a background image of the video image; acquiring multiple moving trajectories in the video image; performing coarse clustering on selected moving trajectories satisfying a coarse clustering condition, classifying the selected moving trajectories into multiple categories, and marking the selected moving trajectories as clustered categories; and performing fine clustering on the clustered moving trajectories marked in the step 4. The vehicle counting method is not restricted to environment in engineering application, has high stability and detection precision, is easy to implement and capable of detecting vehicles within the scope accurately in real time, and has wide application prospect.

Description

technical field [0001] The invention belongs to the technical field of video detection, and in particular relates to a vehicle counting method based on three-dimensional trajectory clustering. Background technique [0002] Due to the rapid economic development, the number of vehicles has increased significantly, and the road traffic capacity has declined. It is very necessary to improve the traffic capacity of the road network through the use of high technology, effectively manage the existing roads, and provide effective data for road construction. Among them, vehicle detection is carried out on a certain section of road, the traffic flow of a certain period of time is counted, and the traffic flow information of this section of road is sent to the management department or other end customers to achieve the purpose of relieving traffic and managing traffic. [0003] Video-based vehicle detection and traffic statistics have attracted more and more attention due to their effi...

AI Technical Summary

Problems solved by technology

At present, the commonly used video-based vehicle detection software and traffic flow statistics are limited in scope. Only when the traffic is smooth and the scene is simple can a high detection rate be achieved. In actual scenes, the expected effect is often not achieved.

Images