Moving target detection method based on particle filtering visual attention model

Abstract

The invention discloses a moving target detection method based on a particle filtering visual attention model. First of all, a particle filtering bidirectional fusion attention model is constructed according to the Bayesian estimation principle; next, on the basis of the particle filtering bidirectional fusion attention model, movement attention and target color attention serve as B-U attention input and T-D attention input respectively, the particle distribution state is changed by calculating particle weights, an attention saliency map is formed, and finally the position of a moving target is determined. According to the method, time attention and space attention are fused, so that the movement attention is calculated more accurately; bottom-to-top attention and top-to-bottom attention are fused, so that the forming process of human visual attention is simulated simply and effectively; with respect to a complex global movement scene, the effectiveness and accuracy of moving target detection are improved.

Description

technical field [0001] The invention belongs to the technical field of video image detection, and relates to a moving target detection method based on a particle filter visual attention model. Background technique [0002] Moving object detection is one of the important problems in the field of machine vision, and it is the premise of object tracking and recognition. However, in complex moving scenes, existing moving object detection methods still have great limitations and deficiencies. In recent years, visual perception research has gradually integrated into the research results of human physiology and psychology. The main idea is to use computers to simulate partial functions of human physiology to solve problems in the visual field. Visual attention is a typical example of this type of research. Its research results have an important role in promoting vision problems such as target detection and segmentation. [0003] Traditional moving object detection methods include ...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a moving target detection method based on particle filter visual attention model, which solves the problem that the prior art motion attention model is limited to bottom-up data-driven model method, and does not integrate multiple features such as color and motion. It cannot adapt to complex moving scenes, and it is difficult to effectively and accurately detect moving targets

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