Target detection method based on time-space multiscale motion attention analysis

Abstract

The invention discloses a target detection method based on a time-space multiscale motion attention analysis. The method comprises a first step of creating a time-space motion blending attention model, a second step of carrying out time-space filtering on a motion vector field, wherein motion vector fields with different time scales are obtained by filtering the motion vector field on a time dimension, and an optimum time scale is obtained according to a certain principle, and a third step of carrying out multiscale motion attention blending. The target detection method based on the time-space multiscale motion attention analysis has the advantages that an appropriate time scale is selected to deal with the motion vector field to carry out attention calculation, the effects on the target measurement by the factors such as light stream estimation errors are reduced, boundedness of a traditional method is overcome, moving target zones can be effectively detected in an overall situation motion scene, and the target detection method based on the time-space multiscale motion attention analysis has good robustness compared with the same kind of methods.

Description

technical field [0001] The invention belongs to the technical field of image segmentation, and relates to a target detection method based on time-space multi-scale motion attention analysis. Background technique [0002] Moving target detection is a challenging research work. Because it has a wide range of application values ​​in the social and military fields, it provides a technical basis for target recognition, target behavior understanding, video content analysis, etc., so it has become a research field in the field of video analysis. One of the hot issues. [0003] Moving object detection can be divided into target detection in local moving scenes and global moving scenes according to the static and moving situations of the lens. Object detection in local motion scenes mainly uses background difference method and frame difference method. The background difference method is to obtain the target area by constructing the background and making a difference with the curren...

AI Technical Summary

Problems solved by technology

[0011] The purpose of the present invention is to provide a target detection method based on time-space multi-scale motion attention analysis, which solves the problems in the prior art, although all involve the use of attention mechanism to solve the problem of target detection or segmentation, but for the global motion scene Under the target detection, these methods have their limitations

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