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Multi-feature weight adaptive shadow elimination method

A shadow removal and adaptive technology, applied in the field of intelligent transportation and computer vision, can solve the problem that the features cannot complement each other and so on

Active Publication Date: 2017-02-01
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

It avoids the problem that the features in the single feature or multi-feature cascade method cannot make up for each other's shortcomings

Method used

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  • Multi-feature weight adaptive shadow elimination method

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Embodiment Construction

[0049] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the implementation methods and accompanying drawings.

[0050] see figure 1 , the vehicle shadow elimination method based on spatio-temporal multi-features of the present invention, comprises the following steps:

[0051] Step 1: input the video frame I to be processed;

[0052] Step 2: Model the background of the current video frame I (hereinafter referred to as image I), obtain the background image B and calculate the corresponding initial foreground area F 0 .

[0053] Step 3: Calculate the foreground mask F of the three features of chromaticity, spectral direction and texture respectively chr , F phy , F tex .

[0054] Step 301: Calculate the foreground mask F of the color feature chr .

[0055] When calculating the foreground mask of the chromaticity feature, this embodiment tak...

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Abstract

The invention discloses a multi-feature weight adaptive shadow elimination method. The method is characterized by, to begin with, obtaining a background image of a video frame image to be processed and an initial foreground region; then, obtaining foreground masks corresponding to chrominance, spectrum direction and texture features; starting from different angles, setting a quality evaluation function of a foreground segmentation image; carrying out quality evaluation on the foreground masks under different features; setting fusion coefficient of the three foreground masks according to the evaluation results and carrying out weight fusion to obtain corresponding time domain foreground probability spectrum; and carrying out constraint on the current detection result through time domain relativity to realize the multi-feature weight adaptive vehicle shadow elimination method. The method prevents the problem that features cannot make up disadvantages of each other in a single-feature or multi-feature cascade method; and while extracting all shadows as far as possible, shadow false detection is reduced, and vehicle shadows can be eliminated more completely and accurately.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation and computer vision, and in particular relates to a video vehicle shadow removal method based on spatio-temporal multi-feature fusion. Background technique [0002] The vehicle elimination method is a key technology in the fields of intelligent transportation and computer vision, and is an important research direction in this field. As the pre-processing link in the intelligent transportation system, vehicle foreground detection plays a vital role in the whole system. During the moving process of the target, the vehicle's adhesion and rough outline formed by the shadow seriously affect the detection of the vehicle, which also brings great difficulties to the subsequent processing. Therefore, it is of great significance to study shadow detection and elimination methods. [0003] For traffic monitoring video sequences, current vehicle shadow removal methods are usually based on ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/10G06T7/40
CPCG06T2207/10016G06T2207/30232G06T5/94
Inventor 王正宁柏祁林韩明燕周阳马姗姗
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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