Aerial photography traffic video rapid robust registration method
A traffic and video technology, applied in the fields of traffic monitoring and video coding, can solve the problems of low computing efficiency and time-consuming, and achieve the effects of fast elimination, accurate registration results, and high matching accuracy
Inactive Publication Date: 2010-09-01
BEIHANG UNIV
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However, the existing technology takes a lot of time in this part, and the calculation efficiency is low.
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[0025] Such as figure 1 Shown, the present invention comprises the steps:
[0026] Step 100, perform feature point extraction on the input image, including the reference image and the current frame image. The SIFT operator is used in the present invention. The SIFT algorithm goes through scale space extremum detection, precise location and scale space locking, calculation of direction parameters, and finally constructs a 128-dimensional feature vector as a descriptor of feature points. The SIFT descriptor is a scale-space-based image local feature description operator that maintains invariance to image scaling, rotation, and even affine transformations, so it can be well adapted to changes in space-based platforms such as rotation, translation, and height;
[0027] Step 200, matching the feature points according to the description operator of the feature points
[0028] In the present invention, a 2NN matching strategy is adopted. A feature point in the current frame image ...
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The invention relates to a fast robust registration method of an aerial photography traffic video. The steps of the invention are that: (1) the feature points of input images comprising reference images and current frame images are extracted; (2) according to description operators of the feature points, the feature points are matched to generate the candidate congregation of matching point pairs;(3) based on the transformation parameters of a historical frame and the motion parameters of a space-based platform which can be obtained, the motion parameters of a camera are predicted; (4) based on the estimation of a motion module, foreign points in the candidate congregation of the matching point pairs are removed by a robust estimator, thus obtaining a congregation with correct matching point pairs which is used for counting the transformation model of the current frame; (5) by the congruent relationship of the position of the matching point pairs, a registration transformation model of the current fame are solved; meanwhile, the solved parameters are input into the estimation of the motion module; (6) according to the solved transformation model of the current frame, the current frame is transformed, then the interpolation is done, thus obtaining the registration output images of the current frame. The fast robust registration method of the invention can effectively remove theforeign points in the matching of the feature points quickly, thus realizing the fast and correct registration for the aerial photography traffic video.
Description
technical field [0001] The invention relates to a registration method suitable for space-based video, in particular to a fast and robust video registration method based on a prediction model, which is the basis for applications such as video stabilization, image stitching, and map matching, and belongs to traffic monitoring, field of video coding. Background technique [0002] Image registration is the process of continuously superimposing two or more images of the same scene obtained from different perspectives using different sensors or at different times. The purpose is to make the pixels under the same coordinates correspond to the same scene point. In the registration process, one of the images is usually used as a reference image, and the other images are matched against the reference image, which is called a sensed image. Image registration is a necessary preprocessing step for many application problems, such as change detection of time series images or multimodal im...
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IPC IPC(8): G06T7/00G06T7/20G08G1/01
Inventor 罗喜伶吴燕雄张军
Owner BEIHANG UNIV