Method and apparatus for detecting pose abnormity

Abstract

The invention discloses a method and apparatus for detecting pose abnormity. The method comprises: an initial monitoring image is acquired, an initial reference frame is obtained, and an initial poseof a camera is obtained; a video key frame is obtained periodically and a bridge image database is established incrementally to obtain a bridge image; a detection frame is obtained based on a detection cycle, feature extraction and matching are carried out on the detection frame and the initial reference frame or the bridge image, and a pose of the detection frame is calculated; a difference between a camera pose of the detection frame and an initial pose of the initial reference frame is obtained; whether the difference is larger than a preset threshold value is determined; and if so, pose abnormity is detected and warning is sent out. With the method disclosed by the invention, feature extraction and matching are carried out on the detection frame and the initial reference frame or the bridge image to determine whether the camera pose changes abnormally, so that the risk of the monitoring system caused by abnormal movement is reduced, the detection cost is lowered, and the efficiencyof the monitoring system is enhanced.

Description

technical field [0001] The present invention relates to the technical field of posture detection, in particular to a method and device for detecting abnormal posture. Background technique [0002] In recent years, people's demand for security has been increasing, and the application of multi-camera surveillance systems has become more and more widespread, becoming an important way to solve security problems. Multi-camera surveillance systems are used in streets, airports, stations, squares and other scenes. With the advancement of image sensor technology, while cameras are getting cheaper and cheaper, the image quality (resolution) is getting higher and higher, which makes the scale of multi-camera surveillance systems larger and larger, and the number of surveillance cameras in large and medium-sized cities can reach a few millions. After a long period of use, whether the posture (position and posture) of the surveillance camera is consistent with the initial installation ...

AI Technical Summary

Problems solved by technology

[0006] However, in related technologies, there is a lack of camera pose information, which cannot reflect abnormal changes in camera pose; it can only detect abnormalities in video content, and relies heavily on the detection of motion purposes; it can only reflect short-term drastic content changes, and it is difficult to deal with long-term Slow scene changes, to be resolved

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