Dual-mode masked man event automatic detection method based on video characteristic statistics

Abstract

The invention provides a dual-mode masked man event automatic detection method based on video characteristic statistics. The dual-mode masked man event automatic detection method comprises the steps of: zooming a video frame and converting the video frame into a grayscale image after acquiring a source video image, acquiring a maximum object motion foreground rectangular frame, positioning a head region coarsely, acquiring face position information, then estimating a mouth region within the obtained face range, cutting the mouth region to narrow a range, calculating a gradient map, primarily judging whether a person is a masked man through calculating number of connected domains on the basis of the obtained gradient map, and calculating proportion of the areas of the top two connected domains for further judging whether the person is a masked man. The dual-mode masked man event automatic detection method based on video characteristic statistics does not have specific requirements for a video scene, is simple and efficient in the calculation method, can perform real-time processing, can be applied to real-time investigation and case solving, saves suspicious masked man information, and can provide first-hand information for evidence collection after a crime is committed.

Description

technical field [0001] The invention generally relates to the field of computer intelligent monitoring video processing, in particular to a dual-mode masked person event automatic detection method based on video feature statistics. Background technique [0002] Since the reform and opening up, driven by the rapid development of the national economy and the improvement of people's living standards, my country's security industry has flourished and gradually grown up. After more than 30 years of development, China's security industry has formed a huge industry with complete categories and advanced technologies. system, and has maintained a good momentum of rapid and healthy development. The use of safety protection is very extensive, and the demand is constantly expanding. No matter in large or collective places such as banks, enterprises, transportation, communities, military, or personal residences, the requirements for safety protection are increasing day by day. With the ra...

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Problems solved by technology

These intelligent video surveillance technologies are all developed for specific problems. There is no real-time identification technology for masked people in video surveillance, and these technologies often have insufficient processing speed and low recognition rate, which cannot meet the requirements of real-time monitoring.

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