Motion segmentation method based on deterministic fitting
A motion segmentation and deterministic technology, applied in the field of computer vision, can solve the problems of high computational time complexity and low MSMC calculation accuracy, and achieve the effect of reducing segmentation error rate, reliable and stable segmentation results, and promoting development and progress
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[0027] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0028] like figure 1 As shown, the present embodiment provides a motion segmentation method based on deterministic fitting, comprising the following steps:
[0029] Step S1: Obtain a group of videos as input videos, and obtain the motion trajectory of feature points of the input videos;
[0030] Step S2: performing superpixel segmentation on each frame of the input video to obtain grouping information of matching pairs of feature points in each continuous frame;
[0031] Step S3: performing model fitting on every two consecutive frames in the input video to obtain a sampling subset and model assumptions;
[0032] Step S4: According to the obtained model assumption, calculate the residual between the matching pair of feature points, and the residual is used to calculate the similarity between the matching pair of feature points to obtain a similarity m...
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