Robust tracking method of target in airport monitoring video

Abstract

The invention relates to a robust tracking method of target in an airport monitoring video, which combines singular value decomposition (SVD) and particle filtering target tracking technology. The method comprises the following steps: step 100: initiating, generating particle swarm containing N particles, carrying out SVD for the tracked target, and establishing template model; step 200: forecasting state by forecasting position of the target in current frame based on position of the target in a prior frame; step 300: updating particle weight, carrying out SVD for candidate image area, establishing feature vector, and comparing similarity of the candidate area and the template by using least squares criterion to be weight of the particle; step 400: re-sampling particle, keeping particles with larger weight, discarding particles with smaller weight, enabling particles with larger weight to derive new particles to keep total number N of particles unchanged, and transferring new particles and the next frame of image to step 200 for circulation operation; and step 500: outputting result, and weighting all particles and weight of all particles to obtain position of the target in current frame. The invention solves problems of complicated scene, frequent illumination change, serious interference caused by background analogue and the like of existing airport monitoring video, and meets requirements of robustness and accuracy in monitoring and tracking process.

Description

technical field [0001] The invention relates to a target tracking method, in particular to a target tracking method in an airport monitoring video image. Background technique [0002] At present, the main means of surveillance of surface moving targets at airports is to rely on the surface surveillance radar, and at the same time use the multilateration (Multilateration, MLAT) surface surveillance system as an auxiliary. The current field surveillance radar has obvious shortcomings, such as expensive, insufficient resolution (cannot detect foreign objects on the runway), and radar coverage in the blind area. If the data fusion of multiple field surveillance radars is used, the complete surveillance of the entire airport can be realized, but the system construction cost will be greatly increased, and there are not many mature applications for field surveillance radar data fusion. Compared with field surveillance radar, multipoint positioning has the advantages of low cost, a...

AI Technical Summary

Problems solved by technology

[0008] The technology of the present invention solves the problem: Aiming at the deficiencies of the existing technology, it provides a robust tracking method for airport surveillance video targets, which combines singular value decomposition modeling and particle filter target tracking technology to solve the problem of illumination changes and the proximity to the target space It is difficult to achieve accurate tracking of targets in complex backgrounds due to the interference of similar objects

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