Article theft detecting and alarming device and method based on intelligent video analysis

Abstract

The invention provides an article theft detecting device and method based on intelligent video analysis. Whether articles are stolen or not is judged through comparing the similarity among all frames in a monitoring area by using a two-dimensional relevant algorithm as a detecting algorithm which has high sensitiviity and high anti-interference performance and ignores background influence after set without updating the target area pixel. The device based on the algorithm comprises a UPS (Uninterruptible Power Supply) functional power supply, a camera, an infrared lamp set, a DSP (Digital Signal Processor) algorithm analyzing circuit, an alarm circuit and video record storage equipment. The article theft detecting device and method based on intelligent video analysis can be applied to the field of theft prevention monitoring of various articles, an alarm signal is sent after the monitored article is moved away, a video within 15 seconds before and after the article is lost is stored and an investigation clue is provided for the public security bureau. The invention provides the novel device which applies an advanced electronic technology and multiple safety design and can monitor valuables in real time and prevents theft.

Description

Technical field: [0001] The invention belongs to the application of computer vision sensor technology, image recognition technology and computer control technology in the field of monitoring, and is a device for intelligently analyzing monitoring video using computer vision methods to determine whether monitored items in the field of view are stolen. Background technique: [0002] In the field of traditional surveillance, the surveillance in the field of view is generally guarded by special security personnel 24 hours a day, or in front of a video wall with multiple surveillance screens. The continuous observation of the camera is very easy to cause visual fatigue, and it is easy to miss the details of the incident. [0003] In order to solve the problems existing in the above-mentioned manual detection and identification methods, it is currently used to transmit the video captured by the video capture device to the terminal device in real time, such as a computer. By analyz...

AI Technical Summary

Problems solved by technology

[0002] In the field of traditional surveillance, the surveillance in the field of view is generally guarded by special security personnel 24 hours a day, or in front of a video wall with multiple surveillance screens. Continuous observation is very easy to cause visual fatigue, and it is easy to miss the details of the incident

[0003] In order to solve the problems existing in the above-mentioned manual detection and identification methods, it is currently used to transmit the video captured by the video capture device to the terminal device in real time, such as a computer. By analyzing whether there is a moving target near the monitored item, if there is a When the target appears, it is a method to determine whether the monitored item still exists when the moving target leaves the monitored item. This method is suitable for monitoring multiple targets, but this method currently has a high false alarm rate and false negative rate.

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