Foreground extraction method based on double-frame encoding and decoding model

A technology of encoding and decoding and foreground extraction, which is applied in the field of foreground extraction based on a double-frame encoding and decoding model, can solve the problems of inability to share basic image features and reduce model running speed, and achieve superior convenience, ensure real-time performance, and facilitate deployment Effect
CN110852199AInactive Publication Date: 2020-02-28中国石化销售股份有限公司 +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
中国石化销售股份有限公司
Publication Date
2020-02-28
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a foreground extraction method based on a double-frame encoding and decoding model, which belongs to the field of computer vision and comprises the following steps: training the double-frame encoding and decoding model, and performing preprocessing, feature extraction, feature map fusion, convolution and up-sampling on a double-frame image after training until a final fusion feature map with the same size as an input image is obtained; and performing softmax on the final fusion feature map to obtain a corresponding foreground prediction probability, and performing binarization to extract a foreground region. According to the method, corresponding image features can be generated while the motion information is generated, and finally prediction of the foreground target is realized.
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Description

technical field

[0001] The invention belongs to the field of computer vision, and in particular relates to a foreground extraction method based on a two-frame encoding and decoding model. Background technique

[0002] With the popularity of computers and cameras, more and more video recordings need to be automatically analyzed. The method of manual analysis not only consumes a lot of labor costs, but also is difficult to be reliable and real-time. Using computer to process video is the main development direction of video processing at present. Foreground extraction is one of the basic technologies for computer processing video. It can focus video research and analysis on a small number of foreground target areas, and perceive important areas in video images, which can be used to help users browse important information in videos. Improve the efficiency of users analyzing video recordings.

[0003] A common algorithm for foreground extraction is the frame difference method,...

Claims

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