Moving vehicle tracking method based on improved differential threshold value and displacement matching model

Abstract

The invention discloses a moving vehicle tracking method based on the improved differential threshold value and the displacement matching model. The moving vehicle tracking method comprises the following steps that at least two image frames are obtained, and the previous image frame in the two adjacent image frames is used as a matching template, and the next image frame is a detection template; the motion region on the matching template is detected, a reference target is acquired and identified; the movement area on the detection template is detected, and a reference target is compared on thematching template to obtain the position of the detection target on the detection template; whether the reference target and the detection target are the same target or not is determined by adoptinga displacement matching model; when the detection target and the reference target are the same target, the identification is carried out, and otherwise, the identification is not carried out; the steps are repeated, and identification and tracking of the target are carried out. According to the invention, only the mobile vehicle is detected and tracked, and a plurality of moving vehicle targets can be tracked accurately in real time, and the moving vehicle tracking method has a good application prospect in the field of intelligent traffic monitoring.

Description

technical field [0001] The invention relates to the field of intelligent traffic systems, in particular to a moving vehicle tracking method based on an improved differential threshold and a displacement matching model. Background technique [0002] Moving object tracking is a comprehensive technology that combines computer vision, pattern recognition, video coding, image processing and other fields. It plays an important role in intelligent transportation, wild species protection, and urban security monitoring. Especially in the field of intelligent transportation systems, moving object tracking systems are often used to track the trajectories of illegal vehicles. Since more and more urban roads have adopted a networked monitoring system to monitor the traffic conditions of the road in real time. When the vehicle involved in the accident escapes, the traditional tracking method is to find the appearance characteristics, license plate number and moving track of the vehicle i...

AI Technical Summary

Problems solved by technology

However, most of the surveillance cameras will generate noisy images, and the area where the noise is distributed in each frame is different. When the differential

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