Method and system for tracking vehicles

Abstract

The embodiment of the invention discloses a method and a system for tracking vehicles. The method comprises the following steps of: establishing a gaussian image pyramid according to a video image of the current frame, and performing FAST feature detection on the gaussian image pyramid to obtain a first FAST feature set; acquiring a dot pair sequence set corresponding to the first FAST feature set according to the first FAST; generating BRIEF descriptors of feature points in the first FAST feature set according to the dot pair sequence corresponding to the feature points to obtain a descriptor set of the feature points of the current frame; establishing a feature dot pair sequence according to preset tracking radius, the descriptor set of the feature points of the current frame and the descriptor set of the feature points of a tracked target in the previous frame; and determining the position of the tracked target in the current frame according to the feature dot pair sequence. By the method and the system, the tracking of the vehicles can be realized effectively, the lost of the tracked target is avoided, and a tracking effect is good.

Description

technical field [0001] The invention relates to the technical field of video monitoring, in particular to a target detection and tracking method and a video monitoring system. Background technique [0002] With the country's promotion of projects such as "Safe City", "Safe Campus", and "Safe Traffic", the demand for video surveillance systems in the whole society is increasing, and the requirements for its intelligence are also getting higher and higher. Traditional monitoring methods can no longer meet the needs of society, and intelligent video monitoring systems have emerged as the times require. The intelligence of the intelligent video surveillance system is mainly manifested in the automatic detection and tracking of the target, and according to the preset logic to judge whether the target has crossed the boundary, and then issue an early warning. [0003] The intelligent traffic management system is a subset of the intelligent video surveillance system. The monitorin...

AI Technical Summary

Problems solved by technology

The method based on optical flow field has poor adaptability to illumination, and it is easy to lose the tracking target when the light changes; the method based on particle filter has insufficient tracking accuracy and tracking speed, and it is difficult to achieve the purpose of real-time and stable tracking; based on SIFT Or the SURF feature matching method is more robust to illumination and affine changes, but feature detection and matching take a lot of time, making it difficult to achieve real-time tracking

[0004] Therefore, the current vehicle tracking method is easy to lose the tracking target, the tracking effect is not good, and the real-time performance of tracking is too poor

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