Gesture identification method based on depth information

A depth information and gesture recognition technology, applied in the field of gesture recognition based on depth information, can solve problems such as interference, kinect cannot adapt to changes in lighting, etc., and achieve the effect of high real-time performance and small amount of calculation.

Inactive Publication Date: 2015-03-25
HANGZHOU DELAN TECH CO LTD
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Problems solved by technology

[0005] Microsoft's kinect cannot adapt to changes in light. Outdoor sunlight and indoor switching lights will interfere. It is only used in indoor scenes with stable light sources.

Method used

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  • Gesture identification method based on depth information

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Embodiment Construction

[0017] The present invention will be further described below in conjunction with accompanying drawing.

[0018] Step 1: Obtain a real-time depth image from a binocular camera that can output depth information, and use a mixed Gaussian background modeling method for the depth image to obtain a background image. Since the depth calculation method is susceptible to occlusion, distortion, etc., resulting in noise and holes in the depth image, the mixed Gaussian method here uses three Gaussian kernels. which is figure 1 The steps of building a background model.

[0019] Step 2: Use the difference between the background image and the current image to detect the foreground area. corresponding figure 1 motion detection.

[0020] Step 3: Utilize the dual background update method to update the established background image to reduce the impact on the calculation error of the depth image.

[0021] Step 4: Collect human samples and non-human samples, and use random forest classifier t...

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Abstract

The invention relates to a gesture identification method based on depth information. The existing method has certain problems in the practical application environment and user experience. Firstly, a real-time depth image is acquired, a background image is acquired after background modeling, and a foreground area is detected by using the background image and the current image as a difference. Secondly, the built background image is updated and an independent human body area is extracted, then, a hand area and outline information are detected from each independent human body area, and the movement track of the hands tracking is obtained. Finally, the movement track is modeled by using a hidden Markov model to identify the gesture. The method can adapt to interference of skin color changes, is barely affected by factors such as distance, illumination, shading, movement and the like in the indoor environment, and is small in arithmetic calculation amount and high in real-time performance.

Description

technical field [0001] The invention belongs to the technical field of human-computer interaction, and relates to a gesture recognition method based on depth information. Background technique [0002] Gesture recognition technology has achieved rapid development in recent years. Gesture recognition based on single camera, gesture recognition based on dual cameras, and Microsoft's kinect gesture recognition have successively appeared in home appliance control, game control and other application fields. However, there are certain problems in the actual application environment and user experience. exist: [0003] When multiple human bodies or gestures under a single camera are occluded, the hands cannot be positioned accurately, resulting in a low recognition rate; such as patents "Static Gesture Recognition Method Based on Vision", "Dynamic Gesture Recognition Method in Interactive Systems", etc.; [0004] The methods under single-camera and dual-camera mainly use the skin c...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K7/00
Inventor 尚凌辉张兆生贺磊盈余天明高勇
Owner HANGZHOU DELAN TECH CO LTD
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