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Gesture identification method and device based on depth images

A depth image and gesture recognition technology, applied in the field of gesture recognition, can solve problems such as being easily affected by light, and achieve the effect of robust performance and small light conditions

Inactive Publication Date: 2014-06-04
RICOH KK
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  • Description
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Problems solved by technology

This method is also susceptible to the influence of light

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  • Gesture identification method and device based on depth images
  • Gesture identification method and device based on depth images
  • Gesture identification method and device based on depth images

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no. 1 example

[0030] 2.1 The overall flow of the gesture recognition method

[0031] 2.2. Acquisition of 3D motion trajectory

[0032] 2.3. Hand gesture recognition based on 3D motion trajectory

[0033] 2.4. Motion feature extraction of 3D motion trajectory

[0034] 2.5. Predetermined gesture recognition based on motion features of 3D motion trajectory

[0035] 2.6. Gesture recognition using sliding window with variable window size

[0036] 3. The second embodiment of the gesture recognition method

[0037] 3.1 Overall flow of the gesture recognition method of the second embodiment

[0038] 3.2. Validate predetermined gestures against an anthropometry model

[0039] 4. How to start the human-computer interaction system

[0040] 5. Gesture recognition device based on depth image

[0041] 6. System hardware configuration

[0042] 7. Summary

[0043] 1. Examples of application scenarios

[0044] figure 1 A schematic diagram schematically shows a scenario where a gesture recognition...

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Abstract

The invention provides a gesture identification method and device based on depth images and a method and device for starting a man-machine interaction system. The gesture identification method includes the steps of detecting a three-dimensional movement track of a hand candidate area based on a depth image sequence of a hand area, and identifying a preset gesture according to the three-dimensional movement track of the hand candidate area. According to the method and device of the gesture identification method, movement information in continuous identification images is made full use of; due to the facts that a skin color model is not used and gesture identification is carried out by means of time-space domain movement information of the continuous images and continuous depth value change information, robustness of the gesture identification method is good, influences of light conditions are small, and due to the fact that gesture identification is carried out on the basis of the movement tracks, the gesture identification method and device can be used in a relative long distance range.

Description

technical field [0001] The present invention generally relates to gesture recognition, and more particularly relates to a gesture recognition method and device based on a depth image. Background technique [0002] Some gesture recognition techniques based on image processing have been proposed. [0003] In the US patent "US7340077B2", a gesture recognition system based on a depth sensor is proposed. The method conducts gesture recognition on the combination of gestures within a certain time range, mainly for the shape, position and direction of the recognized part, and finally controls the relevant electrical equipment through the recognized gestures. This method mainly uses static image information for recognition, and loses a large amount of motion information in continuous video images. In addition, gesture recognition is mainly based on combined gestures, so the user must perform multiple gesture modes to complete a gesture, which is not very convenient for the user to...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06F3/01
Inventor 梁玲燕赵颖
Owner RICOH KK
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