Posture identification method and device based on near-infrared TOF camera depth information

A TOF camera and gesture recognition technology, which is applied in character and pattern recognition, computer components, image data processing, etc., can solve the problem of being easily affected by illumination changes and complex backgrounds, inconvenient real-time embedded transplantation, and inaccurate target segmentation To achieve the effect of facilitating real-time embedded transplantation, improving recognition efficiency, reducing difficulty and algorithm complexity

Inactive Publication Date: 2015-03-25
SOUTH CHINA NORMAL UNIVERSITY
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Problems solved by technology

However, since existing gesture recognition systems generally use traditional color cameras to capture color images, color images are easily affected by illumination changes and complex backgrounds, resulting in difficult object tracking and im

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  • Posture identification method and device based on near-infrared TOF camera depth information
  • Posture identification method and device based on near-infrared TOF camera depth information
  • Posture identification method and device based on near-infrared TOF camera depth information

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Embodiment Construction

[0058] Please also see Figure 1 to Figure 6 , the present invention provides a kind of posture recognition method based on near-infrared TOF camera depth information, and it comprises the following steps:

[0059] S1: Get a depth image. In this embodiment, the depth image is acquired by a near-infrared TOF camera SR4000.

[0060] S2: Extract the human target from the depth image, as well as the centroid and skeleton of the human target. Specifically, the following steps are included:

[0061] S21: sequentially perform background difference processing and image binarization processing on the depth image to obtain a target binary image;

[0062] S22: Perform hole filling, opening operation processing, and connected domain marking on the target binary image in sequence to obtain the centroid of the connected domain;

[0063] S23: performing zhang fast parallel thinning operation on the target binary image to realize the extraction of the human target skeleton and its coordin...

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Abstract

The invention discloses a posture identification method based on near-infrared TOF camera depth information. The posture identification method includes the steps that a depth image is obtained through an SR4000, earlier-stage operation processing is carried out on the depth image, a human body object is obtained and skeletonized, then coordinates of end points of the head, the hands, the feet and the mass center of the human body target are obtained, the heights between the end points and the ground and the skeleton line distances between the end points and the mass center are calculated, the attributes of the end points are identified according to the skeleton line distances and the ground heights, and then posture identification is achieved in cooperation with motion characteristics and the depth information. In this way, the target tracking difficulty and the algorithm complexity are lowered, the identification effective rate and the target division accuracy are improved, and convenience is brought to real-time embedded transplanting. The invention further discloses a device used for implementing the posture identification method.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a gesture recognition method and device based on near-infrared TOF camera depth information applied in the field of unmanned vehicles. Background technique [0002] At present, interactive human body recognition has been widely used in industries such as gaming, retail experience, human-computer interaction, security engineering, remote control, and health care. However, since existing gesture recognition systems generally adopt traditional color cameras to capture color images, color images are easily affected by illumination changes and complex backgrounds, resulting in difficult object tracking and imprecise object segmentation. At the same time, the method of obtaining the target by processing the color image in the existing gesture recognition system has problems such as high algorithm complexity and inconvenient real-time embedded transplantation. Content...

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Application Information

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IPC IPC(8): G06K9/00G06T7/20
CPCG06V40/23
Inventor 李榕马晓阳张金权
Owner SOUTH CHINA NORMAL UNIVERSITY
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