Multi-target tracking method and system and computer storage medium

Abstract

The invention discloses a multi-target tracking method and system and a computer storage medium, and the method comprises the steps: inputting a current frame image and a preorder frame image into a twin network, and extracting a corresponding feature map; determining a prediction frame according to the feature map by using a region suggestion network; screening the prediction frames for the first time to obtain matching pairs with successful matching and failed matching; performing secondary screening on matching pairs which are successfully matched and failed by adopting appearance feature matching threshold values which are higher than and lower than the optimal appearance feature matching threshold value respectively; and inputting the target features which fail in matching after the second screening into the re-identification branches to obtain a tracking result. According to the method, the regional suggestion network is introduced to serve as a prediction module, a distance matrix in a data association module is analyzed, a simple adaptive threshold determination method is adopted, and a difference matching strategy is combined, so that the adaptability of a multi-target tracking algorithm to nonlinear, high-speed and other complex and diverse application scenes is enhanced, and the target tracking accuracy is improved. And the tracking robustness of the shielded target is improved.

Description

technical field [0001] The invention relates to the technical field of target tracking, in particular to a multi-target tracking method, a system and a computer storage medium. Background technique [0002] With the rapid development of modern technology, UAVs have been widely used in civil and industrial applications due to their low cost and strong maneuverability, but they have also caused a series of safety problems. When these drones appear in flight areas, confidential areas and private places, they will pose a major threat to aviation flight and public safety. It can be seen that it is urgent to take effective technical means to monitor and early warning of black flying drones. The use of imaging detection technology can realize the detection and tracking of UAVs, but in practical applications, due to the influence of long-distance imaging and atmospheric radiation interference, the target has a low signal-to-noise ratio, few pixels, and no shape, texture and structu...

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a multi-target tracking method, system and computer storage medium to solve the problem of low robustness in determining the matching threshold using manual debugging in the prior art

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