Object-tracking method base on particle filtering and movable contour model

Abstract

The invention provides a target tracing method which is based on a particle filter and active contour model, and relates to a target tracing method for a gradient vector flow-parameter active contour model. The method firstly adopts a background difference method to obtain target initial profile, and the improved gradient vector flow-parameter active contour model is utilized, thus leading the parameter active contour model to be converged to true profile of a moving target; control points are increased or reduced according to the distance of the control points, so as to achieve the purpose of tracing moving and morph targets in a self-adapting way; then energetic particle filter target tracing algorithm is used for tracing the targets by combining the particle filter and the improved gradient vector flow-parameter active contour model; and tracing strategy when the target is sheltered is used, thus overcoming the effect of sheltering in the tracing process. In a whole tracing process, profile point information is not sheltered mostly by fully utilizing GVF-Snake model target profile, so as to effectively overcoming the effect such as complex environment and the like in the tracing process.

Description

technical field [0001] The invention particularly relates to a particle filter and a method for tracking a target by a gradient vector flow-parameter active contour model, and belongs to the technical field of image processing and pattern recognition. Background technique [0002] Tracking moving and deforming targets has always been a research difficulty in target tracking, especially the tracking of rigid and non-rigid targets in complex environments. In recent years, there have been a lot of researches on moving target tracking methods of video images, especially in the object tracking with active contours and intelligent traffic as the background, many practical methods have emerged. The contour information has relatively robust invariance, is not sensitive to illumination changes, and is not sensitive to errors in the direction of the edge during the movement of the target. The tracking algorithm based on the active contour uses a closed curved contour to represent the...

AI Technical Summary

Problems solved by technology

The tracking strategy when the target is occluded proposed by the present invention makes full use of the contour point information of the GVF-Snake model target contour which is mostly not occluded in the whole tracking process, and effectively overcomes the influence of complex environments such as occlusion in the tracking process

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