Method for detecting people crossing behavior based on video monitoring platform

Abstract

The invention relates to a method for detecting people crossing behaviors based on a video monitoring platform. The method includes inputting video frames, marking a wall position with a straight line which is a warning line, editing the video frame according to the marked wall position for each frame of an image, extracting motion foreground images, carrying out binary processing and morphological filtering on foreground images, extracting connected domain by employing a boundary chain code extraction method to obtain a series of rectangular areas which may have human bodies, sorting out the rectangular areas which satisfy the position conditions, tracking images, and recording the top positions of the rectangles tracked for each frame to obtain a motion track. The method does not rely on color information in images, especially suitable of detection during the night. (Enclosure wall crossing events usually occur during the night) The calculating efficiency is high, server configuration can be saved, and the use cost is lowered.

Description

technical field [0001] The invention belongs to the field of intelligent video monitoring. Specifically, it belongs to a perimeter security system based on a common monocular camera and a single camera (that is, a general existing video surveillance platform). Background technique [0002] There are many solutions for traditional perimeter security, such as infrared radiation, microwave radiation, leakage cable, vibration cable, electronic fence, power grid, etc. However, limited by some objective factors, they also have many shortcomings: traditional schemes such as infrared have a low protection level, and are easy to cross or avoid for deliberate intruders; Turning, bending and other environmental restrictions, and they are not suitable for harsh climates, easily affected by natural climates such as high temperature, low temperature, strong light, dust, rain, snow, fog, frost, etc., and the false alarm rate is high; leaking cables and vibrating cables are Cable sensing,...

AI Technical Summary

Problems solved by technology

However, limited by some objective factors, they also have many shortcomings: traditional schemes such as infrared have a low protection level, and are easy to cross or avoid for deliberate intruders; Turning, bending and other environmental restrictions, and they are not suitable for harsh climates, easily affected by natural climates such as high temperature, low temperature, strong light, dust, rain, snow, fog, frost, etc., and the false alarm rate is high; leaking cables and vibrating cables are Cable sensing, the sensing part is active, and the system consumes a lot of power; while electronic fences, power grids and other solutions have certain hazards

This limits the scope of application of the patent to a large extent

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