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Continuous and stable tracking method of weak moving target in dynamic background

A dynamic background, stable tracking technology, applied in the field of target detection and tracking research, to avoid model update errors

Active Publication Date: 2017-06-20
北京理工雷科电子信息技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, weak and small moving targets in a dynamic background, due to the influence of the movement of the camera carrier platform and the limitations of the size and characteristics of the target itself, make it a difficult point in the tracking of moving targets.

Method used

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  • Continuous and stable tracking method of weak moving target in dynamic background
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  • Continuous and stable tracking method of weak moving target in dynamic background

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Embodiment

[0040] Embodiment: This embodiment provides a continuous and stable tracking method for weak and small moving targets in a dynamic background. The process is as follows figure 1 shown, including the following specific steps:

[0041] S1: Obtain video data. The video data obtained in this embodiment is taken independently by a drone. The image size of the collected video is color data of 720×1280 pixels. The flying height of the drone is 103 meters, and the video frame rate is 100 frames per second. For each frame of image in the video data, the following processing is performed in chronological order. The initial frame images collected in this embodiment are as follows figure 2 shown.

[0042] S2: In the current frame image, obtain the position coordinates of the moving target to be tracked. If the current frame image is the initial frame, obtain the position coordinates of the moving target to be tracked through external input, otherwise directly obtain the target positio...

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Abstract

The invention discloses a continuous and stable tracking method of a weak moving target in a dynamic background. The method includes acquiring the video data, and processing each frame of image in the following steps of acquiring the position coordinate of the moving target to be tracked in the current frame of image and determining the target tracking frame according to the position; establishing a spatial context model of the current frame of image for the area in the target tracking frame with a Bayesian framework; performing convolution calculation by means of the spatial context model of the current frame of image and the next frame of image to obtain a confidence map of the position of the moving target to be tracked in the next frame of image, the position with the greatest confidence is the position of the moving target to be tracked in the next frame of image; based on the double threshold moving target crisis determination, determining that when the moving target to be tracked is not shielded or lost, outputting the moving target position in the next frame of image when the tracking of the current frame of image is completed; otherwise, updating the target tracking frame and re-checking. The method realizes the continuous and stable tracking of the target under the condition of background interference and shielding.

Description

technical field [0001] The invention belongs to the research field of target detection and tracking, and specifically relates to a continuous and stable tracking method for weak and small moving targets under a dynamic background. Background technique [0002] The tracking of moving objects has broad application prospects in the fields of military, national defense and industry, and has aroused great interest of researchers at home and abroad, making it a hot field of computer vision. At present, the typical moving target tracking methods mainly include: frame difference method, tracking method based on template matching, tracking method based on feature points and tracking method based on the statistical characteristics of the surrounding domain. The frame difference method is suitable for static scenes with small background changes, and the algorithm complexity is low, but it can only extract the outline of the target when the large target is moving slowly. In the trackin...

Claims

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Application Information

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IPC IPC(8): G06T7/215
CPCG06T2207/10016
Inventor 曾大治陈天明梁若飞王长杰
Owner 北京理工雷科电子信息技术有限公司
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