ATM self-service business hall behavior analysis method based on depth information

A technology of in-depth information and behavior analysis, applied in image analysis, image data processing, instruments, etc., can solve problems such as high false detection rate, impact on bank security monitoring business, low maturity, etc., and achieve the effect of ensuring complete coverage

Inactive Publication Date: 2015-01-07
ZHEJIANG ICARE VISION TECH
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  • Application Information

AI Technical Summary

Problems solved by technology

The behavior analysis algorithm based on ordinary two-dimensional cameras is a research hotspot in the entire academic circle, but its maturity is not high. The main reason is that the target detection itself under the two-dimensional camera is immature. In this situation, be

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  • ATM self-service business hall behavior analysis method based on depth information
  • ATM self-service business hall behavior analysis method based on depth information
  • ATM self-service business hall behavior analysis method based on depth information

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with embodiment:

[0037] Such as figure 1 Shown, 1, the present invention has adopted binocular camera as the acquisition device of depth information, output is the depth map of the CIF resolution of frame rate 25FPS, in the depth map, the value range of each pixel is 0-255, and the value is more Larger means that the object represented by the pixel is closer to the lens.

[0038] Such as figure 2 As shown, set the installation height of the binocular camera: about 3 meters, the installation angle: 90 degrees vertically, and the installation position: close to the ceiling of the ATM machine. When the erection height is 2.8m, it is assumed that the maximum height of the human body is 1.8m, and the coverage of a single binocular camera is about 2m*2m; and according to calculations, the width of an ATM is about 0.8-1m, so a binocular camera The camera can basically cover the area in front of 2 ATM ma...

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Abstract

The invention relates to an ATM self-service business hall behavior analysis method based on depth information. Behavior analysis based on common two-dimensional cameras is adopted in the prior art, and the situation that targets cannot be accurately positioned exists. According to the ATM self-service business hall behavior analysis method, firstly, binocular cameras are adopted for serving as acquisition equipment for the depth information, background modeling is carried out on depth maps, a Gaussian mixture model of each pixel is learned and updated, and background distribution is determined; secondly, the probability value of each pixel in each new depth map is worked out, and clustering segmentation is carried out on a front depth map according to the DENCLUE algorithm; finally, pixels in each human body region in each camera are projected onto the ground, association of projected targets is carried out by using multi-camera offset calibration, and therefore target detection under the multiple cameras is achieved under a global coordinate system. The depth information is used and background modeling of RGB information is combined, so that the stability of target detection is greatly improved, and a good basis is provided for following behavior analysis.

Description

technical field [0001] The invention belongs to the technical field of video intelligent monitoring, and relates to a behavior analysis method of an ATM self-service business hall based on depth information. Background technique [0002] At present, the technology based on video intelligent analysis has been gradually applied to the field of financial security, especially for ATM self-service business halls. Due to the frequent occurrence of robbery cases across the country, real-time early warning and active alarm based on video behavior analysis have become a strong technology in many areas. An important means of technological security. [0003] The video-based behavior analysis algorithm mainly provides detection functions such as "withdrawal trailing", "fighting", "smashing an ATM machine", "falling to the ground", "lingering", and "staying", but at this stage, these functions They are all realized based on the ordinary cameras originally installed by the bank. The beh...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/20H04N7/18
CPCG06T7/215G06T7/507G06T2207/10016G06T2207/20112G06T2207/30232
Inventor 尚凌辉高勇王弘玥刘家佳余天明施展
Owner ZHEJIANG ICARE VISION TECH
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