Unsupervised video segmentation method based on non-local space-time characteristic learning
A spatiotemporal feature, video segmentation technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of inaccurate motion information, blurred objects, etc., to achieve improved robustness, improved segmentation accuracy, and good denoising effect. Effect
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[0022] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.
[0023] like figure 1 As shown, the present invention provides an unsupervised video segmentation method based on non-local spatio-temporal feature learning, including obtaining the video sequence to be segmented, using superpixel segmentation to process the video sequence, using optical flow to match front and rear frame information, and according to the video sequence The optical flow information of adjacent frames obtains the approximate range of the moving target, optimizes the matching results by using non-local spatio-temporal information, establishes a graph model, solves and outputs the segmentation results; the input video processing, by inputting the video to be segmented The system stores the video as a single-frame picture sequence available for processing; the superpixel segmentation module performs superpixel segmentation processi...
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