Pan-tilt abnormal motion intelligent tracking method and system

Abstract

The invention relates to a pan-tilt abnormal motion intelligent tracking method and system. The method is composed of a camera output module, an algorithm processing module and a pan-tilt tracking module. The camera shoots a to-be-monitored picture and returns a video to the processor with the artificial intelligence algorithm, the abnormal movement condition in the to-be-monitored picture is analyzed through the algorithm, and after an abnormal movement main body needing to be tracked is determined, the pan-tilt tracks abnormal movement according to the calculation result of the processor. According to the invention, an algorithm is used for processing a video picture shot by the camera, an abnormal person or object is identified, the pan-tiltis linked, and the identified abnormal motionis precisely shot and tracked.

Description

technical field [0001] The invention relates to cloud platform control, in particular to a cloud platform abnormal movement intelligent tracking method and system thereof. Background technique [0002] With the advancement of science and technology, in various fields such as security monitoring, border inspection, traffic maintenance, crowd monitoring, and explosion-proof emergency management, the intelligent requirements for video surveillance are gradually increasing, and the existing intelligent tracking pan / tilt is mainly based on the radar monitoring function. The intelligent tracking pan-tilt and AI-based enhanced mobile detection pan-tilt, but due to the limitations of related equipment and technology, there are mainly the following problems: [0003] 1) The intelligent tracking pan / tilt based on the radar monitoring function needs a time interval for the radar signal to be sent and returned. If the movement speed of the subject to be tracked is too fast in a unit tim...

AI Technical Summary

Problems solved by technology

[0003] 1) The intelligent tracking pan / tilt based on the radar monitoring function needs a time interval for the radar signal to be sent and returned. If the movement speed of the subject to be tracked is too fast in a unit time, the received radar signal may deviate greatly from the actual position of the object; and because Due to the particularity of radar technology, the degree of discrimination of moving objects is low, and video AI is usually used for processing and analysis, and there is a time delay between the video link and the radar link, which will affect the real-time performance and accuracy of the tracking effect

[0004] 2) The PTZ based on AI-enhanced mobile monitoring usually has an artificial intelligence tracking algorithm directly built into the PTZ. Due to the shooting resolution and hardware configuration for the algorithm, this method can only be applied to simple monitoring scenarios and cannot adapt to A more complex and sophisticated monitoring environment

To meet the needs of a variety of monitoring environments, it is necessary to make corresponding customizations for this environment, which is costly and difficult to maintain, which is not conducive to large-scale implementation

[0005] 3) Single use of the gimbal for monitoring may cause that when multiple changes occur at the same time, the gimbal can only detect and track one change and the tracking detection is not comprehensive; if multiple gimbals are operated at the same time, it may cause different gimbals Track the same subject, reducing the efficiency of monitoring and tracking

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