Real time video image stabilization method based on simple fast global motion parameter estimation

A technology of global motion parameters and real-time video, applied in TV, color TV, image communication and other directions, can solve problems such as non-uniform motion law, filtering effect, slow speed, etc.

Inactive Publication Date: 2011-01-19
SHANGHAI WENXIANG INFORMATION TECH
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Problems solved by technology

[0004] Finally, after searching the prior art documents, it was found that Marius Tico published "Constraint motion filtering for videostabilization" (video stabilization method based on constrained motion filtering, image processing IEEE International Conference), this paper adopts the feature point tracking method and the Kalman motion filter method with constraints. , the pre

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  • Real time video image stabilization method based on simple fast global motion parameter estimation
  • Real time video image stabilization method based on simple fast global motion parameter estimation
  • Real time video image stabilization method based on simple fast global motion parameter estimation

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[0017] Figure 1(a)-1(h) It is an overall block diagram of a real-time video image stabilization method based on simple and fast global motion parameter estimation proposed by the present invention. The specific implementation details of each part are as follows:

[0018] Figure 1(a) is a feature description diagram of the integral graph

[0019] 1. Integral image feature (the corresponding English is Integral Image Feature)

[0020] As shown in Figure 1(a), the so-called integral map features, the difference between the sum of the gray value of the pixels in the white rectangular area in the figure and the sum of the gray value of the pixels in the black rectangular area is the feature of the integral map. Five integral graph features are introduced. The benefits of this feature are reflected in: (1) the sum of pixel values ​​in the area can effectively resist the influence of image noise, (2) the difference between the pixel sums in adjacent rectangular areas can effective...

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Abstract

The invention discloses a real time video image stabilization method based on simple fast global motion parameter estimation, which is simple to realize, has higher estimation prevision and provides a very effective method for real time video image stabilization under the environment of a low-speed embedded type platform. The real time video image stabilization method based on simple fast global motion parameter estimation comprises the following steps of: 1, carrying out block partition on a current frame; 2, obtaining a motion vector of each block based on a diamond search algorithm; 3, judging whether the motion is abnormal, and marking the block to be an effective block if the motion is not abnormal; 4, counting an average value of the translation invariants of all effective blocks to estimate a global translation invariant; 5, estimating rotation and zoom quantity of each effective block relative to a match block in a previous frame according to the global translation invariant; 6, counting all rotation and zoom qualities to estimate the global rotation and zoom quantity; 7, carrying out the motion filter process on the global translation invariant and the global rotation and zoom quantity; and 8, carrying out the motion compensation according to filter results.

Description

technical field [0001] The invention relates to a real-time video stabilization system that can be widely used in consumer electronics products such as mobile phones, digital cameras, and video cameras, and can also be widely used in camera and monitoring systems equipped with aircraft, ships, satellites, and missiles. method. Background technique [0002] The video sequence shot by the camera during the movement not only includes the active part of the camera, but also introduces irregular random motion. The existence of this random motion will cause the video to shake and blur, which seriously affects human vision. Feeling, the purpose of video image stabilization is to eliminate or weaken the destructive effects of random motion on video images. The realization of video image stabilization includes three modules: motion estimation, motion filtering and invalid area compensation. For these three modules, domestic and foreign scholars have proposed many methods. In terms ...

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Application Information

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IPC IPC(8): H04N5/21H04N5/14
Inventor 王竞龚志
Owner SHANGHAI WENXIANG INFORMATION TECH
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