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Method for detecting static gesture fingertip

A fingertip detection and gesture technology, which is applied in the direction of instrument, character and pattern recognition, user/computer interaction input/output, etc., can solve the problem of limited application range of detection algorithm

Inactive Publication Date: 2013-12-04
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

In order to achieve the ideal hand segmentation effect, most fingertip detection algorithms limit the detection background conditions and lighting conditions, so the range of use of the detection algorithm is very limited

Method used

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  • Method for detecting static gesture fingertip
  • Method for detecting static gesture fingertip
  • Method for detecting static gesture fingertip

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Experimental program
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Embodiment Construction

[0056] The present invention will be described below in conjunction with the accompanying drawings and embodiments.

[0057] The present invention includes three main steps: gesture region segmentation, wrist region removal and fingertip localization. First, the skin color model is used to segment the gesture area from the input color image; then the center of gravity of the gesture area is detected, the wrist orientation is judged, and the wrist area is removed; finally, the outline of the hand area is extracted, combined with the finger shape features, each fingertip area is detected and located. figure 1 A block diagram of the proposed method is given.

[0058] 1 gesture area segmentation

[0059] literature [9] Proof of complexion at YC g C r Color space ratio in YC b C r Color spaces have better clustering properties. The proposed method adopts YC g C r The color space is used for skin color detection, and the specific algorithm is as follows.

[0060] Skin c...

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Abstract

The invention belongs to the field of the specific object detection in the computer vision field, and relates to a method for detecting a static gesture fingertip. The method comprises the steps of conducting segmentation on the gesture area, segmenting the gesture area from an input color image, investigating coordinates of points in the gesture area, determining the direction of the wrist in the gesture area, computing the center of gravity of the gesture area, searching for the minimum radius, conducting processing according to the different directions of the wrist and different situations, obtaining a binary image of a hand area, extracting the outer contour of the binary image of the HAND area, computing the distance between the outer contour and the center of gravity of the gesture, conducting smooth processing, detecting maximum value points, obtaining a maximum value point set, and obtaining a fingertip point set. According to the method, the fingertip area in the gesture image can be rapidly and accurately detected and positioned.

Description

Technical field [0001] The invention belongs to the field of specific object detection in the field of computer vision, and in particular relates to the aspect of fingertip detection in the process of static gesture recognition. Background technique [0002] The popularity of computers and the Internet has made human-computer interaction an important part of everyday life. As the processing power of computers becomes stronger and stronger, people begin to explore natural human-computer interaction technologies that conform to human communication habits. The human-computer interaction devices that have been widely used include: keyboard, mouse, handwriting, touch screen, scanner, etc. There are certain shortcomings and deficiencies in these input devices. First, the habit of using these devices for input is inconsistent with the natural way of communication of humans themselves, and in order to operate, people are forced to learn input rules. In addition, most of these int...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F3/01
Inventor 王建曹群刘立
Owner TIANJIN UNIV
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