Human motion detection method suitable for depth image

A technology of depth image and human motion, applied in the field of computer vision, can solve the problems of sensor accuracy deviation, static pixel misjudgment, pixel change, etc., to achieve broad application prospects and maintain the effect of accuracy

Active Publication Date: 2015-03-11
江苏盐综产业投资发展有限公司
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Problems solved by technology

However, due to the different characteristics of depth images and ordinary color images, the method has the following problems when applied to depth images: 1) It is difficult to detect moving objects near the ground, and the specific phenomenon is that the feet connected to the groun

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  • Human motion detection method suitable for depth image
  • Human motion detection method suitable for depth image
  • Human motion detection method suitable for depth image

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Embodiment Construction

[0021] The human motion detection method of the depth image of the DViBe algorithm of the present invention will be described below in conjunction with the accompanying drawings.

[0022] figure 1 It is a flowchart of the DViBe algorithm, and its implementation mainly includes the following steps:

[0023] (1) Divide the image into upper and lower layers, and the upper and lower layers use different neighborhoods to build background models. While building the background model, a reference model M is added R (x).

[0024] (2) Adjust the difference threshold R of the image lower layer algorithm b parameters.

[0025] (3) In the next video, compare each pixel with the background model for pixel classification.

[0026] (4) Based on the classified pixels, different update methods are used to update the background model.

[0027] (5) De-noise processing of false detection points.

[0028] Each step will be described in detail below one by one.

[0029] Step 1, background mo...

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Abstract

The invention provides a human motion detection method suitable for a depth image. The method comprises the following steps: firstly, dividing the image into an upper layer and a lower layer, wherein the upper layer and the lower layer are used for creating a background model by different neighborhoods, and a reference model is added while the background model is created; secondly, adjusting the parameter of the difference threshold value of an image lower-layer algorithm and comparing pixels with the background model for pixel classification in a following video; thirdly, updating the background model by different updating modes based on the classified pixels; finally, denoising false detection points. According to the method, the identification and detection rates of a human body are remarkably increased.

Description

technical field [0001] The invention belongs to the field of computer vision, and relates to a method for human body motion detection aiming at depth images. Background technique [0002] In the research of human motion vision analysis, human motion detection is a key preprocessing step, which directly affects the effect of follow-up tracking and recognition, so the human motion detection algorithm has always been a research hotspot in this field. [0003] The 3D sensor represented by Microsoft Kinect can obtain the depth image showing the three-dimensional information of the object, which provides a new way for human motion detection and analysis. Compared with ordinary color images, depth images have some obvious advantages. For example, the shadow and lighting problems that plague color images have little effect on depth images. [0004] The ViBe (visual background extractor) algorithm is also called the visual background extraction operator algorithm, which is one of th...

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Application Information

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IPC IPC(8): G06T7/20
CPCG06T7/251G06T2207/20016G06T2207/30196
Inventor 孟明杨方波鲁少娜朱俊青桂奇政佘青山罗志增
Owner 江苏盐综产业投资发展有限公司
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