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Time sequence smoothing method and device and electronic equipment

A smoothing and timing technology, applied in image data processing, instrumentation, computing, etc., can solve the problem of timing smoothing of targets with different original probability values ​​and different difficulties

Active Publication Date: 2019-03-01
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the original probability values ​​of different targets in the current image frame are different, and it is difficult to accurately time-series smooth the different targets using the same weighting coefficient.

Method used

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  • Time sequence smoothing method and device and electronic equipment
  • Time sequence smoothing method and device and electronic equipment
  • Time sequence smoothing method and device and electronic equipment

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Embodiment Construction

[0067] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0068] figure 1 is a flowchart of a time series smoothing method shown according to an exemplary embodiment, such as figure 1 As shown, the timing smoothing method is used in a terminal, and includes the following steps.

[0069] In step S11, a first weighting coefficient is calculated based on the utility value of the original probability value of the target in the current image fra...

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Abstract

The invention relates to a time sequence smoothing method and device and electronic equipment. The method comprises the steps that based on a utility value of an original probability value of a targetin a current image frame, a first weighting coefficient is calculated, the first weighting coefficient is in positive correlation with the utility value, and the utility value is used for representing the effectiveness degree of the original probability value for determining the feature of the target; and taking the first weighting coefficient as a weighting coefficient of the original probability value of the target in the current image frame, and carrying out normalized weighted average on the weighting coefficient and the smoothness probability value of the target in the previous image frame to obtain the smoothness probability value of the target in the current image frame. Based on a utility value of an original probability value of a target in a current image frame, and the weighting coefficient of the original probability value of the target in the current image frame is dynamically determined, so that the weighting coefficient is more suitable for the target, and for differenttargets in the current image frame, more accurate time sequence smoothing processing is carried out on the target by utilizing the weighting coefficient suitable for the target.

Description

technical field [0001] The present disclosure relates to the technical field of deep learning algorithms, in particular to a time series smoothing method, device and electronic equipment. Background technique [0002] In the related art, the target in the image frame can be analyzed by a preset image analysis algorithm to determine the characteristics of the target in the image frame, for example, to determine whether the pixel in the image frame belongs to the foreground area, because the image analysis algorithm may have Therefore, the output of some image analysis algorithms can be a probability value (hereinafter referred to as the original probability value), for example, the output analysis result is the probability that the pixel in the image frame belongs to the foreground area. When image analysis algorithms are used to process multiple consecutive image frames, due to the possibility of randomly distributed noise signals, the original probability value of the targe...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/50
CPCG06T5/50G06T2207/20216G06T5/70
Inventor 宋丛礼于永航郑文
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD