Posteriori probability image tracing method based on background suppression

A posteriori probability and image tracking technology, applied in the field of image tracking, can solve problems such as wrong matching, and achieve the effect of fast speed and high tracking accuracy

Inactive Publication Date: 2008-12-10
XI AN JIAOTONG UNIV
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Problems solved by technology

However, for some background areas that have interference matching problems, for example, when there are pixels similar to the target in the background, or there are background pixels in the target template, the difference between the optimal value position of the target calculated by applying the Bhattachary index and the real position of the target object There are obvious deviations between them, and there may even be wrong matches

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  • Posteriori probability image tracing method based on background suppression
  • Posteriori probability image tracing method based on background suppression
  • Posteriori probability image tracing method based on background suppression

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Embodiment Construction

[0031] First, the representation method of image features is introduced.

[0032] In image processing, color features are widely used. Color features are insensitive to image orientation, resolution, and noise. Among the color representation methods, the histogram is the most popular image color statistical feature, which is simple and easy to implement, and has high computational efficiency. Therefore, this embodiment uses the color histogram as an image feature to describe the target template, the search area and the candidate target area.

[0033] When using a color histogram to describe an image, two issues need to be considered, the choice of color space and the quantization of the histogram. Here, the RGB space is selected for analysis, and the color features are quantized to 4096 levels. Assuming that each color component value of a certain pixel is (R, G, B), its corresponding quantization feature is calculated as follows:

[0034] u=[r×256+g×16+b]; formula (two) ...

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Abstract

The present invention relates to an image tracking method and discloses a posterior probability image tracking method based on background suppression. The method is based on the pixel grade calculation of the posterior probability. Firstly, pixel similarity contribution margin within a searching area is calculated; secondly, a fast movement target is searched; finally, the size self-adaptive searching of a target area is processed. The method has high positioning precision, can effectively avoid the influence of background characteristic and has fast tracking speed.

Description

technical field [0001] The invention relates to an image tracking method, in particular to a background suppression-based posterior probability image tracking method. Background technique [0002] Visual tracking has a wide range of applications in robotics, security monitoring, human-computer interaction and other fields. In recent years, it has attracted the attention of many researchers and has become one of the current research hotspots in the field of computer vision. Currently existing visual tracking methods are mainly divided into two categories, motion information-based methods and model-based methods. Among them, the method based on motion information is to use the motion information of the target to track the target. It classifies the points with motion consistency within a period of time into one category, such as the optical flow method and the feature point method. The disadvantage of this method is that the calculation The amount is too large. The model-base...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 冯祖仁吕娜苏家全陈火健刘锁山
Owner XI AN JIAOTONG UNIV
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