An Intrusion Detection Method Based on Depth Camera

Abstract

The invention provides a depth camera-based invasion detection method. The method performs detection by the following steps of firstly setting a monitoring range in a camera range by a user; initializing a background pixel number in the preset monitoring range, and recording the background pixel number as num0; recording an invasion state as state, and initializing state to be 0, wherein when state is equal to 0, it is represented that no persons exist, and when state is equal to 1, it is represented that persons exist; for each frame of distance image data, performing statistics on a pixel number in a preset space range, and recording the pixel number as numi; if numi is less than a sum of num0 and thr1, executing the following operation: Num0=(A*num0+B*numi) / (A+B), wherein thr1 is a first threshold of judgment and reflects a noise fluctuation condition of the background pixel number, and A and B are used for adjusting the updating speed of the background pixel number; and if numi is greater than a sum of num0 and thr2, executing the following operation: setting State to be 1, wherein thr2 is a second threshold of judgment, and misjudgment of small animal invasion can be eliminated by adjusting thr2; or otherwise, keeping State unchanged. When invasion exists in the preset monitoring range, a point number is changed, and whether invasion of a person exists or not is judged according to a change situation. Compared with a mainstream invasion detection method at present, the depth camera-based invasion detection method has the advantages of basically no influence of ambient light and high identification accuracy.

Description

technical field [0001] The invention relates to the field of video surveillance, in particular to an intrusion detection method based on a depth camera. Background technique [0002] Video surveillance is an important part of the security solution system. In recent years, with the advancement of computer, network, image processing, and transmission technologies, video surveillance technology has also made great progress. Intrusion detection is an important part of intelligent video surveillance, and it is widely used in military and civilian fields. At present, there are mainly methods based on image and video analysis or infrared detectors for intrusion detection. Among them, the method based on image and video analysis is vulnerable to the application of ambient light changes, and it is easy to generate false alarms in scenes with complex ambient light; while the method based on infrared detectors It is susceptible to false alarms caused by environmental factors such as s...

AI Technical Summary

Problems solved by technology

At present, there are mainly methods based on image and video analysis or infrared detectors for intrusion detection. Among them, the method based on image and video analysis is vulnerable to the application of ambient light changes, and it is easy to generate false alarms in scenes with complex ambient light; while the method based on infrared detectors Susceptible to small animals, fog, rain and snow and other environmental factors to cause false alarms. In addition, different installation methods, angles, and locations will also cause certain effects

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