Video-based moving object intrusion alarm method

Abstract

The invention discloses a video-based moving object intrusion alarm method and relates to the field of security monitoring. The method comprises steps as follows: continuously acquiring indoor real-time monitoring images and inputting the images into scene mode computational algorithms to calculate the scene complexity; when the scene complexity is larger than the threshold, regarding the scenes as complex scenes, and otherwise, regarding the scenes as simple scenes; adopting different background parameter estimation algorithms for different scene modes respectively, and then extracting previous scene features by using background parameters; calculating the previous scene feature complexity, when the previous scene feature complexity is larger than the threshold, sending alarm information when judging moving objects intrude into a room, otherwise, updating the image background parameters, and continuously repeating the steps. According to the method, indoor monitoring scenes are divided into the simple scenes and the complex scenes, different detection algorithms are adopted for the different scenes, the adaptability of the alarm method to the different indoor scenes is improved, and the probability of false alarms of monitoring is decreased.

Description

technical field [0001] The invention belongs to the field of security monitoring and relates to an algorithm method for an indoor moving object intrusion alarm, in particular to a video-based moving object intrusion alarm method. Background technique [0002] With the development of urbanization in China, the continuous accumulation of population and personal wealth, the increasing pressure on social security, and the frequent occurrence of social theft cases, how to improve the anti-theft ability of personal or collective property has become a research hotspot. With the development of technology, various A variety of electronic surveillance systems emerged at the historic moment, and video surveillance technology is a technology that develops rapidly among them. Video surveillance technology is widely used in monitoring such as buildings and families. However, the existing monitoring technology is often "monitoring" rather than "controlling". When a theft occurs, the video ...

AI Technical Summary

Problems solved by technology

However, the existing monitoring technology is often "monitoring" rather than "controlling". When a theft occurs, the video can be used as the basis for solving the case. Remedy, so the development of a "prevention"-based intrusion detection method is a current hot research

[0003] Current research hotspots mainly include video-based motion detection, face detection, target tracking, and behavior understanding. Alarm, and face detection, target tracking and behavior understanding and other related methods are very new, but it is difficult to make products at present, and even if there are related products on the market, it is difficult to deploy and implement for ordinary families. The cost is also difficult for ordinary families to bear. Therefore, in indoor monitoring, it is only necessary to accurately detect the intrusion of moving objects in the room and then send an alarm message to the user. The user can check the indoor situation according to the remote video monitoring. , the user reports to the police in time

[0004] There are many methods of motion detection, but the monitoring scenarios are diverse. Each motion detection method is generally only suitable for one or only a few monitoring scenarios. If only one motion detection algorithm is used to detect motion alarms, The number of false alarms will be very large. Therefore, it is necessary to develop a motion detection method suitable for various monitoring scenarios to improve the accuracy of motion detection, that is, to improve the accuracy of alarms.

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