Human behavior identification method based on depth information

Abstract

The invention relates to a human behavior identification method based on the depth information. The method comprises steps that depth images are acquired by utilizing a depth camera; a two-dimensional depth image coordinate system is converted to a three-dimensional camera coordinate system; X, Y and Z values of a three-dimensional point under the three-dimensional camera coordinate system are assigned to X, Y and Z values of a point cloud three-dimensional point; multiple frame images of each motion which are converted into three-dimensional coordinates fill a three-dimensional body in a point cloud storage format, and a three-dimensional human motion history body is acquired; the three-dimensional human motion history body is divided into identification and training samples; a word frequency distribution histogram and a class statistics histogram of the training sample are acquired, and the acquired histograms are inputted to a SVM training determination motion classifier model; a word frequency distribution histogram of the identification sample is inputted to a classifier model to carry out identification operation, and thereby the identification result is acquired. According to the method, problems that depth value utilization is not enough and the specific space structure information is insufficient are solved through the generated three-dimensional human motion history body.

Description

technical field [0001] The invention belongs to the technical field of computer vision and image processing, in particular to a behavior recognition method based on depth information. Background technique [0002] With the rapid development of computer vision technology, the need for video-based human behavior recognition is becoming more and more urgent. In such systems, behavior recognition plays an increasingly important role. [0003] Most of the early human behavior recognition was carried out using ordinary color (RGB) image sequences, and color image recognition mostly used appearance features. As technology has improved, depth cameras equipped with depth sensors have appeared in recent years. This camera depth head can obtain depth images with acceptable quality while acquiring normal RGB images. Compared with color images, depth images have the following characteristics in behavior recognition: first, depth data is only related to the spatial position of the obje...

AI Technical Summary

Problems solved by technology

Although this method makes up for the shortcoming of complete loss of depth information to a certain extent, and expresses actions more perfectly, the 3D representation mentioned in the action expression scheme only includes the change direction of depth, and lacks more specific spatial structure information.

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