Bidirectional optical flow and perceptual hash based fingertip tracking method

A technology of perceptual hashing and bidirectional light, applied in the input/output process of data processing, the input/output of user/computer interaction, and image data processing, etc., can solve problems such as poor fingertip tracking effect

Active Publication Date: 2016-01-20
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

[0007] The purpose of the present invention is to make up for the deficiencies of the existing fingertip detection and tracking technology, and to provide a fingertip tracking method based on two-way optical flow and perceptual hashing, which can effectively realize continuous tracking of fingertips in complex environments. Sexual tracking, while avoiding the problem of poor fingertip tracking effect due to discontinuous fingertip tracking trajectory

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  • Bidirectional optical flow and perceptual hash based fingertip tracking method
  • Bidirectional optical flow and perceptual hash based fingertip tracking method
  • Bidirectional optical flow and perceptual hash based fingertip tracking method

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Embodiment

[0056] Such as Figure 1 to Figure 6 As shown, a fingertip tracking method based on two-way optical flow and perceptual hashing of the present invention is used to continuously track the fingertips of the hand; this includes the following three steps:

[0057] The first step is to capture the scene information, calculate the dense optical flow information corresponding to the scene information, and perform binarization preprocessing to obtain the scene image containing the hand area; then construct a skin color filter to process the scene image containing the hand area Segmentation of the hand area to obtain the hand area;

[0058] The second step is to sample the contour of the hand area, perform vector dot product and cross product calculation on each contour point to eliminate the contour points that are not fingertips, and obtain candidate fingertip points; then set the threshold according to the geometric characteristics of the fingertips, Count the number of non-fingert...

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Abstract

The invention provides a bidirectional optical flow and perceptual hash based fingertip tracking method. The method comprises the steps of S1, calculating dense optical flow information corresponding to scene information, and constructing a skin color filter to acquire a hand area; S2, carrying out vector dot product and cross multiplication calculation on each contour point so as to remove non-fingertip contour points, detecting the position of a fingertip point according to geometrical features of the fingertip, and acquiring fingertip contour points; and S3, calculating the fingertip contour points by using a bidirectional pyramid optical flow algorithm, acquiring bidirectionally matched fingertip contour points so as to carry out estimation on a fingertip moving area, generating a 64-bit perceptual hash sequence by adopting a perceptual hash algorithm, and matching the 64-bit perceptual hash sequence with a fingertip hash sequence template, wherein the maximum matching area is a fingertip area; and judging whether a next turn of fingertip tracking is carried out or not, and realizing fingertip continuous tracking. The method provided by the invention can effectively realize continuous tracking for the fingertip in a complex environment, and a problem of poor fingertip tracking effect caused by discontinuous fingertip tracking trajectory is avoided at the same time.

Description

technical field [0001] The invention relates to the technical field of image processing and analysis, and more specifically, relates to a fingertip tracking method based on bidirectional optical flow and perceptual hashing. Background technique [0002] Traditional human-computer interaction mainly completes the information exchange between human and computing through media such as mouse or keyboard. The media of this interaction method needs to occupy a certain amount of space and is very inconvenient to use. Today, with the development of computer science and artificial intelligence technology, human-computer interaction continues to develop. The application of technologies such as touch screen, speech recognition, and computer vision makes human-computer interaction systems more and more convenient and friendly. [0003] As an important part of computer vision-based human-computer interaction systems, fingertip tracking has attracted more and more researchers' attention i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20G06F3/01
CPCG06F3/017G06T7/20
Inventor 康文雄吴桂乐
Owner SOUTH CHINA UNIV OF TECH
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