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Grayscale target automatic tracking method based on marginal information

An edge information and target technology, applied in the field of image processing, can solve problems such as being easily affected by changes in the background gray level, unable to perform effective tracking, and poor tracking effect of the MeanShift method.

Inactive Publication Date: 2013-05-01
BEIHANG UNIV
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Problems solved by technology

However, compared with the color target, the grayscale target contains less information. When the grayscale histogram information is used as the feature space of the target, the tracking effect of the Mean Shift method is not good. When the texture, shape or size of the target changes When , it often leads to tracking failure, and the tracking process is easily affected by background grayscale changes; in addition, the Mean Shift method is only effective in the neighborhood of the target, and cannot be effectively tracked when the target is moving fast

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  • Grayscale target automatic tracking method based on marginal information
  • Grayscale target automatic tracking method based on marginal information
  • Grayscale target automatic tracking method based on marginal information

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Embodiment Construction

[0068] The technical solutions of the present invention will be further described below through specific embodiments and in conjunction with the accompanying drawings.

[0069] The tracking method of the invention is used to track a group of aircraft gray-scale image sequences whose gray-scale distribution, shape, size and background gray-scale of a group of targets vary. The image size is 360×268, and the target size varies from 39×26 to 13×41. The initial frame image as figure 2 As shown, the marked part of the window is the initial target. The original grayscale target image sequence such as image 3 shown.

[0070] The specific implementation process of the whole embodiment is as follows:

[0071] Step 1. Preprocessing the grayscale target image, including image denoising and differential operator filtering.

[0072] Aiming at the characteristics of strong noise and large background clutter of the gray scale target image, the present invention first preprocesses each...

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Abstract

The invention provides a grayscale target automatic tracking method based on marginal information. The method comprises the following steps of (1) pre-treating a grayscale target image, including image denoising and Sobel differential operator filtering; (2) establishing a marginal information feature space by utilizing the pre-treated grayscale target image; (3) extracting target marginal information as a feature template; (4) calculating back projection of a candidate target by utilizing a target histogram, and describing the candidate target based on the target histogram; (5) predicting the starting search position of the target in the current frame by a Kalman filter; (6) searching an optimal position of the target near the starting position of the target predicted by the Kalman filter through a Mean Shift method; and (7) updating the target area by combining a Canny operator. According to the method provided by the invention, the marginal information of the target is fully utilized, and fast and steady tracking for the grayscale target is realized under the conditions that the target shape, dimension, grayscale distribution and background are changed.

Description

technical field [0001] The invention relates to a method for automatically tracking a gray scale target, which is particularly suitable for solving the problem of automatic target tracking in a gray scale image sequence. It belongs to the technical field of image processing. Background technique [0002] Target tracking has been widely used in fields such as computer vision, surveillance systems, civil security inspection and precision guidance. The essence of target tracking is to determine the position and geometric information of the target in the image sequence. At present, a lot of work has been done on the tracking methods of color targets at home and abroad, and many effective tracking methods have been proposed, such as template matching method, trust domain method, mean shift method and particle filter method. Among them, the Mean Shift method, as an excellent tracking method, has been widely used in the field of color target tracking. However, compared with the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20G06T5/00
Inventor 毛峡郑海超薛雨丽陈立江梁晓庚
Owner BEIHANG UNIV
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