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Human body behavior identification method based on point cloud data

A technology of point cloud data and recognition methods, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve problems such as human behavior recognition methods without deep learning, achieve multi-processing methods and usage methods, reduce costs, Applicable effect

Inactive Publication Date: 2019-07-09
SOUTH CHINA UNIV OF TECH
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  • Claims
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Problems solved by technology

However, there is currently no deep learning human behavior recognition method based on point clouds.

Method used

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  • Human body behavior identification method based on point cloud data
  • Human body behavior identification method based on point cloud data
  • Human body behavior identification method based on point cloud data

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Embodiment Construction

[0060] The present invention will be further described below in conjunction with specific examples.

[0061] Such as figure 1 As shown, the human behavior recognition method based on point cloud data provided in this embodiment combines the point cloud data converted from the depth map and the deep neural network, including the following steps:

[0062] 1) Obtain basic data, including depth map data and camera parameters; depth map data such as Figure 2a As shown, in this embodiment, the camera internal parameter f x = f y =f / z c , f is the focal length of the camera. Since the data set used does not clearly indicate the camera focal length z c , so the focal length corresponding to each frame of depth map data passes calculated.

[0063] 2) Preprocessing the data, including smoothing the depth map, converting the depth map to point cloud, and normalizing the point cloud data.

[0064] 2.1) Use bilateral filtering to smooth the depth map data:

[0065]

[0066] ...

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Abstract

The invention discloses a human body behavior identification method based on point cloud data, which comprises the following steps: 1) acquiring basic data including depth map data and camera parameters; 2) preprocessing the data, including smoothing the depth map, converting the depth map to a point cloud, and normalizing the point cloud data; and 3) inputting the processed data into the networkfor behavior recognition, and providing deep learning human body behavior recognition based on the point cloud data, so that the point cloud data obtained from the depth map can be directly utilized for human body behavior recognition, and a good result is obtained.

Description

technical field [0001] The present invention relates to the technical fields of image processing algorithm research, three-dimensional data processing algorithm research, human body behavior recognition algorithm research and deep learning algorithm research, and in particular refers to a human body behavior recognition method based on point cloud data. Background technique [0002] Human behavior recognition mainly analyzes human behavior based on collected videos, which is widely used in video surveillance, medical rehabilitation, fitness assessment, human-computer interaction and other fields, and is a hot issue in computer vision research. Point cloud data is a set of discrete points distributed in three-dimensional space collected by a structured light scanner or a three-dimensional laser scanner. It has unique advantages in expressing complex scenes and the shape of objects, coupled with the rapidity and convenience of its acquisition. , Has been widely used in compute...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04
CPCG06N3/049G06V40/20G06N3/048
Inventor 吴秋霞康力许鸿斌杨晓伟
Owner SOUTH CHINA UNIV OF TECH
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