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Gesture recognition method based on improved D-P algorithm and multi-template matching

A gesture recognition and multi-template technology, applied in the field of gesture recognition, can solve the problems of restricting the promotion and application of gesture recognition, low recognition accuracy, and inability to quickly recognize changes in multiple gestures

Inactive Publication Date: 2017-09-29
XIAN UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

However, the gesture recognition method in the prior art still has the following problems: it cannot quickly recognize the changes of multiple gestures, the recognition accuracy is low, and the real-time performance is poor, which limits the popularization and application of gesture recognition

Method used

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  • Gesture recognition method based on improved D-P algorithm and multi-template matching
  • Gesture recognition method based on improved D-P algorithm and multi-template matching
  • Gesture recognition method based on improved D-P algorithm and multi-template matching

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Embodiment Construction

[0067] like figure 1 and figure 2 Shown, the gesture recognition method based on improved D-P algorithm and multi-template matching of the present invention, comprises the following steps:

[0068] Step 1. Real-time acquisition and preprocessing of gesture images: Camera 1 is used to capture gesture image video streams and send the image video streams to computer 2. Computer 2 performs image segmentation and preprocessing on the video frames of the image video streams to obtain real-time gesture contours image;

[0069] Step 2, the computer 2 adopts the improved D-P algorithm to carry out polygonal approximation fitting to the real-time gesture contour image obtained in step 1, and the specific process is:

[0070] Step 201, setting feature point selection threshold δ;

[0071] Step 202, select a point from the gesture contour curve as the starting point for contour traversal search;

[0072] In this embodiment, in step 202, the lowest point on the gesture contour curve i...

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Abstract

The invention discloses a gesture recognition method based on an improved D-P algorithm and multi-template matching. The gesture recognition method comprises the following steps that step one, real-time acquisition and preprocessing of a gesture image are performed; step two, polygonal approximation fitting is performed on the real-time gesture contour image obtained in the step one by a computer through the improved D-P algorithm; step three, fingertip detection is performed on the gesture contour polygonal approximation image obtained in the step two by the computer through an adaptive threshold algorithm; and step four, matching recognition is performed on the gesture by the computer through a multi-template matching algorithm so as to determine the gesture. The gesture recognition method is novel and reasonable in design, high in gesture recognition rate, great in real-time performance, high in gesture recognition accuracy, high in practicality, great in use effect and convenient for popularization and application.

Description

technical field [0001] The invention belongs to the technical field of gesture recognition, in particular to a gesture recognition method based on improved D-P algorithm and multi-template matching. Background technique [0002] With the rapid development of computer science technology and artificial intelligence, human-computer interaction system has become a research hotspot. Traditional machine-centered interaction methods such as keyboards, mice, and cameras can no longer meet human needs for human-computer interaction methods, and there are still many problems. In daily communication, human gestures are a relatively common and natural communication. The way of interaction is an important way for it to communicate with the outside world, and it is also a topic worthy of in-depth research in the field of modern and future human-computer interaction technology. Therefore, the research on vision-based gesture recognition technology is of great significance. [0003] Gestu...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/28G06F18/22G06F18/24
Inventor 汪梅孙敏王博馨郭林李向丹
Owner XIAN UNIV OF SCI & TECH
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