Real-time athletic estimating method based on multiple dimensioned unchanged characteristic

Abstract

The invention relates to a real-time athletic estimating method based on a multiple dimensioned unchanged characteristic, which comprises the steps: (1) a gauss scale space is constructed and a local characteristic point is extracted; (2) a characteristic descriptor of the polar distribution of a rectangular window is constructed; (3) the characteristic point is used for matching and establishing an interframe motion model; and (4) the offset of a current frame output position which corresponds to a window center is calculated. The athletic estimating method has a size, visual angle and rotation adaptive characteristic, can accurately match images with complicated athletic relation, such as translation, rotation, dimension, a certain visual angle change, and the like and has higher real-time performance. The estimating method has better robustness for common phenomena, such as mistiness, noise, and the like in a video, has higher estimated accuracy for arbitrary ruleless complicated athletic parameters and is combined with a motion compensating method based on motion state identification, thus, the image stabilizing requirement of a video image sequence which can be arbitrarily and randomly shot under complex environment can be realized, and the purposes of real-time output and video stabilization can be achieved.

Description

(1) Technical field [0001] The invention belongs to the application field of image processing technology, and relates to a motion estimation method in video image stabilization. This method can eliminate the influence of the irregular motion of the shooting carrier in the video image sequence through inter-frame motion estimation and motion compensation, and output stable video images in real time, so as to improve the image quality of video equipment and the accuracy of subsequent processing of the system sex. (2) Background technology [0002] With the wide application of optical imaging equipment in transportation, medical treatment, precision guidance, military reconnaissance and aerospace fields, the requirements for imaging quality are getting higher and higher. The video image signals collected by photography platforms such as handheld camera equipment, vehicle camera systems, aircraft, missiles, and satellites include not only the smooth motion of the camera carrier...

AI Technical Summary

Problems solved by technology

[0011] The purpose of the present invention is to design a feature descriptor for the polar layout of a rectangular window in view of the defects and insufficiencies of the motion estimation method in the above-mentioned traditional electronic image stabilization technology, use the gradient direction histogram to describe each window, and use the integral graph to describe each window at the same time The principle realizes the fast calculation of the gradient direction histogram. This algorithm can overcome the contradiction between the traditional matching method in processing complex images and real-time performance. High estimation accuracy, and can meet the requirements of real-time calculation, so it can better solve the problem of motion parameter estimation of randomly captured video image sequences in complex environments

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