Method for testing motion available for real-time monitoring and device thereof

Abstract

The invention discloses a method for testing motion available for real-time monitoring. Based on the analysis theory of an independent vector, a motion foreground and an environment background are taken as the main composition of a whole image; and corresponding data fusion is carried out on two observation vectors, and a mixing relationship between the vectors which are mutually independent in the statistical sense is adjusted so as to lead the motion foreground and the environment background to be linearly combined. Aiming at the interference of interframe random sampling noise, virtual motion is added into the observation vectors and the noise is filtered after the process of image reconstruction. Finally, an environment vector is separated from a motion vector by a matrix partitioning method to realize the test of the motion object and finally mark a tested object region into the image in a way of externally connected rectangle frame. The invention simultaneously discloses a device for testing motion. The invention can be applicable for the monitoring environment of complex colors; design implementation thereof uses the way of period processing to execute the real-time monitoring of the motion and self-adaptively locates the object region; and the invention is a general monitoring visual processing method.

Description

technical field [0001] The invention relates to the field of image processing in intelligent monitoring, and performs real-time detection and positioning of a moving target in a complex environment when the camera is still. technical background [0002] Moving object detection is the basis of computer image and video processing, and it is widely used in industry, military and other fields. The moving object belongs to the foreground relative to the environment, which can be expressed as the segmentation of the moving foreground area. Although target detection is very common in computer vision detection, there are still many problems that have not been solved well. Light changes in the field of view, including gradients, mutations, and reflections, often affect the light intensity of the entire field of view. The detection algorithm is inaccurate; the occlusion problem may cause the occluded object to be regarded as a part of the target during the target extraction process; ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a real-time and effective motion detection method. The problem to be solved is to perform robust motion area detection for complex monitoring scenes in the lens, and to overcome common interference factors such as light changes and similar colors. Relatively general detection technology

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