Video image stabilization method and system based on feature matching and motion compensation

A motion compensation and video stabilization technology, applied in the field of image processing, can solve problems such as large amount of calculation, low feature matching accuracy, and inappropriate real-time processing, so as to improve the accuracy and speed up processing.

Active Publication Date: 2017-03-22
BEIJING INST OF TECH ZHUHAI CAMPUS
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AI Technical Summary

Problems solved by technology

The SURF algorithm is an improved algorithm for SIFT. Its performance exceeds that of SIFT and its processing speed has been improved. However, it also has the disadvantages of large amount of calculation and is not suitable for real-time processing. Moreover, its correct rate of feature matching Not high, needs further improvement

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  • Video image stabilization method and system based on feature matching and motion compensation
  • Video image stabilization method and system based on feature matching and motion compensation
  • Video image stabilization method and system based on feature matching and motion compensation

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Embodiment 1

[0102] Aiming at the problems of slow processing speed and low accuracy of feature matching in existing electronic image stabilization methods, the present invention proposes an improved video image stabilization method based on the combination of local feature matching and motion compensation, which effectively improves the algorithm The processing speed and matching accuracy. The method proposed by the present invention can perform correct motion compensation on the video frame image, and finally can obtain a good image stabilization effect. Such as figure 1 As shown, the method mainly includes: firstly select the local feature matching area to improve the processing speed of the algorithm and reduce the influence of the moving target in the scene on the image stabilization effect; then, use the SURF algorithm to extract the image feature points and calculate the descriptor; combine the improved The fast approximate nearest neighbor matching algorithm matches the feature poin...

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Abstract

The invention discloses a video image stabilization method and system based on feature matching and motion compensation. The method comprises the following steps: selecting a local feature matching area of a video frame image; extracting video frame image feature points in the local feature matching area of the video frame image by adopting an SURF algorithm, and calculating a corresponding SURF feature point descriptor; carrying out local feature point matching on the video frame image by adopting an improved fast approximate nearest neighbor matching algorithm; and calculating affine transformation parameters of the video frame image through a least square method according to the matching result, and then, carrying out global motion compensation on the video frame image through a bilinear interpolation method according to the calculated affine transformation parameters. The method and system combine local feature matching and motion compensation, thereby accelerating algorithm processing speed, increasing the process of adopting a weight value screening method, a bidirectional matching method and a K-nearest neighbor algorithm to screen out the final matching point, and improving feature matching accuracy. The method and system can be widely applied to the field of image processing.

Description

Technical field [0001] The invention relates to the field of image processing, in particular to a video image stabilization method and system based on feature matching and motion compensation. Background technique [0002] As an important carrier, video contains a wealth of information and is widely used in many occasions, playing an increasingly important role. In order to be able to extract effective regional information, the acquired video needs to have a certain degree of stability and clarity. [0003] With the wide application of camera equipment, camera platforms are becoming more and more diversified, which can be mainly divided into fixed platforms and mobile platforms. Various hand-held camera equipment, aerial cameras, and vehicle-mounted camera systems in the camera platform are affected by factors such as attitude changes and camera shake, causing random movements such as rotation or translation of the video information, resulting in a variety of motion vectors and T...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/21
CPCH04N5/21
Inventor 唐佳林郑杰锋李熙莹苏秉华
Owner BEIJING INST OF TECH ZHUHAI CAMPUS
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