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Foreground object extraction method, apparatus and device and storage medium

A foreground and target technology, which is applied in the field of equipment and storage media, devices, and foreground target extraction methods, can solve the problems of long modeling and adaptation process, inability to adapt well, camera noise, and illumination change foreground target camouflage, etc. achieve accurate removal

Active Publication Date: 2018-09-11
GUOGUANG ELECTRIC +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although these algorithms are fast in operation, they also have certain defects and cannot be well adapted to various situations in reality, such as camera noise, illumination changes, foreground target camouflage, dynamic background or BootStrap situations, etc.; Long modeling and adaptation process

Method used

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  • Foreground object extraction method, apparatus and device and storage medium
  • Foreground object extraction method, apparatus and device and storage medium
  • Foreground object extraction method, apparatus and device and storage medium

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Experimental program
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Embodiment 1

[0022] For video images, contours, colors or textures are the main perception features of human eyes, and contours can overcome the defects of pixel-level background removal methods. An embodiment of the present invention provides a method for extracting a foreground object based on contour extraction, specifically, figure 1 It is a flow chart of a method for extracting a foreground object provided by Embodiment 1 of the present invention. This embodiment is applicable to the case of processing video. The method can be executed by a device for extracting a foreground object, which can be implemented by software and / or or hardware to realize, the method specifically includes the following steps:

[0023] S110. Obtain a first foreground contour according to the gradient feature of at least one frame of input image, and obtain a second foreground contour according to the color feature of at least one frame of input image.

[0024] Among them, the first foreground contour can be ...

Embodiment 2

[0036] figure 2 It is a schematic structural diagram of a foreground object extraction device provided in Embodiment 2 of the present invention. The device can execute any method for extracting a foreground object provided in the embodiment of the present invention. The device can be implemented by software and / or hardware. The device specifically includes:

[0037] A contour acquisition module 210, configured to obtain a first foreground contour according to the gradient feature of at least one frame of input image, and obtain a second foreground contour according to the color feature of at least one frame of input image;

[0038] A corner point extraction module 220, configured to extract a corner point satisfying a first preset condition in the first foreground contour as a target corner point;

[0039] A curve generating module 230, configured to generate a low-threshold edge map curve according to the second foreground profile;

[0040] The foreground acquisition modul...

Embodiment 3

[0061] image 3 It is a schematic structural diagram of a computer device provided in Embodiment 3 of the present invention. image 3 A block diagram of an exemplary computer device 12 suitable for implementing embodiments of the invention is shown. image 3 The computer device 12 shown is only an example, and should not impose any limitation on the functions and scope of use of the embodiments of the present invention.

[0062] Such as image 3 As shown, computer device 12 takes the form of a general-purpose computing device. Components of computer device 12 may include, but are not limited to: one or more processors or processing units 16 , system memory 28 , bus 18 connecting various system components including system memory 28 and processing unit 16 .

[0063] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of ...

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PUM

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Abstract

The embodiment of the invention discloses a foreground object extraction method, apparatus and device and a storage medium. The method comprises the steps of: obtaining a first foreground contour according to gradient features of at least one input image, and obtaining a second foreground contour according to color features of the at least one input image; extracting angular points meeting a firstpreset condition in the first foreground contour as target angular points; generating a low-threshold edge map curve according to the second foreground contour; and connecting the target angular points according to the low-threshold edge map curve, performing filling of the foreground contour obtained through connection, and obtaining a final foreground target. The foreground object extraction method, apparatus and device and the storage medium perform foreground contour extraction according to the gradient features and the color features and combine the two foreground contours to determine afinal foreground target, greatly overcome the problem that a foreground extraction algorithm cannot greatly adapt various conditions in the prior art, more accurately remove a background and obtain the foreground target.

Description

technical field [0001] Embodiments of the present invention relate to image processing technologies, and in particular to a method, device, equipment and storage medium for extracting foreground objects. Background technique [0002] In the field of video processing, background removal is a basic problem in video processing and is widely used in video surveillance and other fields. Most of the current background removal algorithms, or change detection algorithms or foreground extraction algorithms, are pixel-level, such as mixed Gaussian model method, Vibe, SubSense and other algorithms. Although these algorithms are fast in operation, they also have certain defects and cannot be well adapted to various situations in reality, such as camera noise, illumination changes, foreground target camouflage, dynamic background or BootStrap situations, etc.; Long modeling and adaptation process. Therefore, how to study and propose an accurate background removal method is an urgent pr...

Claims

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Application Information

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IPC IPC(8): G06K9/34G06K9/46G06T7/12
CPCG06T7/12G06V10/267G06V10/56
Inventor 邓苗
Owner GUOGUANG ELECTRIC