Finger tip detection and gesture identification method and system based on depth information

A gesture recognition and fingertip detection technology, which is applied in the field of image recognition, can solve the problems that fingertip detection and gesture recognition are difficult to perform simultaneously, and gesture areas cannot be accurately segmented.

Inactive Publication Date: 2017-03-22
JIANGHAN UNIVERSITY
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Problems solved by technology

[0007] Aiming at the above defects or improvement needs of the prior art, the present invention provides a method and system for fingertip detection and gesture recognition based on depth information. The contour curve of the hand is simplified into a broken line, the fingertips are detected on the simplified broken line of the hand, and the gesture is recognized acco

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  • Finger tip detection and gesture identification method and system based on depth information
  • Finger tip detection and gesture identification method and system based on depth information
  • Finger tip detection and gesture identification method and system based on depth information

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[0056] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0057] Such as figure 1 As shown, the present invention provides a method for fingertip detection and gesture recognition based on depth information, comprising the following steps:

[0058] S1. Obtain a depth image containing gesture information, and use a threshold method to roughly segment the hand to obtain a hand shape with a part of the forearm area.

[0059] Due to the sensitive nature ...

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Abstract

The invention discloses a finger tip detection and gesture identification method based on depth information. The method comprises the following steps: obtaining a depth image comprising gesture information, performing coarse segmentation on a hand portion by use of a threshold method to obtain a hand shape with a part of a forearm area; realizing accurate segmentation of a hand area through detecting a wrist feature identification, and extracting a hand contour curve; obtaining a hand simplified broken line by simplifying the hand contour curve by use of a discrete curve evolution method; detecting finger tips on the hand simplified broken line by use of the threshold method; and identifying a gesture according to the quantity of the finger tips included in the hand simplified broken line and a set gesture model. The method can accurately segment the hand area, and at the same time, detects the finger tips and identifies the gesture. The invention further provides a corresponding finger tip detection and gesture identification system based on depth information.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and more particularly relates to a method and system for fingertip detection and gesture recognition based on depth information. Background technique [0002] Fingertip detection and gesture recognition are an important means of human-computer interaction. In recent years, with the rise of mobile Internet technology, vision-based fingertip detection and gesture recognition technology has been widely used in home entertainment, smart driving, smart wear and other fields due to its advantages of non-contact and low cost. Applications. [0003] The key to fingertip detection and gesture recognition is to segment the collected gesture images to obtain the shape features of gestures. Traditional vision-based fingertip detection and gesture recognition systems use optical sensing devices to collect gesture information. However, due to the sensitive nature of the optical sensor, the image c...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/117G06V40/113
Inventor 赖重远钱同惠夏武陈红梅张纪英张仕臻赵维胜
Owner JIANGHAN UNIVERSITY
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