Vehicle movement shadow eliminating method

A shadow elimination and movement technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of poor integrity and poor applicability of shadow parts, and achieve the effect of overcoming poor general applicability and complete elimination of moving shadow parts

Inactive Publication Date: 2013-04-24
BEIJING CUTOPS TECH +1
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  • Claims
  • Application Information

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Problems solved by technology

[0006] In the process of realizing the present invention, the inventor found that there are at least defects such as poor general applicability and poor integrity of the eliminated shadow parts in the prior art

Method used

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  • Vehicle movement shadow eliminating method
  • Vehicle movement shadow eliminating method
  • Vehicle movement shadow eliminating method

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Embodiment Construction

[0051] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0052] According to the research and comparison of existing shadow elimination algorithms, model-based methods can be used to eliminate vehicle shadows, but vehicle modeling is a problem that needs to be solved, and the real-time nature of the system's operating speed must be considered. In order to satisfy the universality of the system, the applicant chooses an attribute-based method to eliminate shadows.

[0053] The existing shadow removal algorithms basically operate directly on each frame of the video image pixel by pixel, so the applicant wants to directly operate on the vehicle and its shadow area, because the tracking stage uses a rectangular blob Blocks to...

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Abstract

The invention discloses a vehicle movement shadow eliminating method which includes: pre-treating an original color image (a), obtaining marginal information of the obtained color image (f), conducting vertical operation and horizontal operation to a primary image (i) of the color image (f) after being disposed of a majority of outer contour margins, conducting connected region marking of a first secondary image (j) and a second secondary image (k) which are obtained from elimination of residual outer contour margins, respectively conducting pixel-by-pixel phase between the obtained first result image (l), a second result image (m) and the primary image (i), conducting vehicle reconstruction for the obtained phase result image (n) to generate a blob block corresponding to the original color image (a), and inputting the blob block to a corresponding binary image according to coordinate position of the original color image (a). Due to the fact that vehicle marginal information is rich and marginal information is insensitive to change of illumination variation, the vehicle movement shadow eliminating method has the advantages of being good in universal applicability and good in completeness of the eliminated shadow portion.

Description

technical field [0001] The invention relates to the technical fields of computer vision, pattern recognition and digital image processing, and in particular, to a method for eliminating vehicle motion shadows. Background technique [0002] Since the vehicle and its motion shadows have very similar motion attribute characteristics, they will be connected together when extracting the foreground target after background difference. If the shadows are not eliminated (the shadows referred to here are all motion shadows, the same below) will be Subsequent operations such as vehicle detection and vehicle tracking have a large impact, so shadow removal is necessary. Among them, the shadow removal of a single vehicle is to accurately frame the vehicle area in the image coordinate system. [0003] At present, most existing algorithms start from two aspects to eliminate shadows. The first type is a model-based method. The more common one is the hybrid Gaussian model (HMM). This type o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/54
Inventor 明安龙林昭文
Owner BEIJING CUTOPS TECH
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