Multi-object tracking method based on particle filtering and movable contour model

An active contour model and multi-target tracking technology, which is applied in character and pattern recognition, image data processing, instruments, etc., to achieve the effect of robust tracking effect

Inactive Publication Date: 2009-04-15
NANJING UNIV OF POSTS & TELECOMM
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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 conto

Method used

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  • Multi-object tracking method based on particle filtering and movable contour model
  • Multi-object tracking method based on particle filtering and movable contour model
  • Multi-object tracking method based on particle filtering and movable contour model

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Embodiment Construction

[0025] The invention first adopts the background difference method to obtain the initial outline of the target, and uses the improved GVF-Snake model to make the Snake converge to the real outline of the moving target by utilizing the unique powerful search ability of the GVF-Snake. Aiming at the particularity of tracking target video streams in complex environments, by adaptively adding and deleting control points to adapt to changes in target size, the purpose of quickly and reliably tracking moving and deforming targets in complex environments can be achieved.

[0026] 1. Target model based on GVF-Snake

[0027] Under the condition that the camera is still, the present invention adopts the background difference method to obtain the initial outline of the target. After obtaining the initial contour, we apply the GVF-Snake algorithm to make it converge to obtain the converged contour of the target. In order to converge accurately and quickly, based on the traditional GVF-Sna...

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Abstract

The invention relates to a multiple target tracing method which is based on a particle filter and active contour model, 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; after obtaining the target initial profile, an 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, and control points are increased or reduced in a self-adapting way according to the distance of the control points; the multiple target is traced by combining the particle filter and by using improved K typical value clustering algorithm and energetic particle filter; tracing strategy when the target is sheltered is used, thus overcoming the effect of sheltering in the tracing process.

Description

technical field [0001] The invention particularly relates to a method for multi-target tracking by a particle filter and a gradient vector flow-parameter active contour model, and belongs to the technical field of image processing and pattern recognition. Background technique [0002] Multi-target tracking has always been a research difficulty in the field of 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 th...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06K9/62
Inventor 董春利董育宁
Owner NANJING UNIV OF POSTS & TELECOMM
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