Motion segmentation method based on mixtures-of-dynamic-textures-based spatiotemporal saliency detection
A dynamic texture and motion segmentation technology, applied in image analysis, image data processing, instruments, etc., can solve the problem that single-mode dynamic texture cannot accurately describe the real scene, and achieve the effect of improving accuracy, obvious effect, and obvious interference suppression
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[0031] The embodiment of the present invention will be described in detail below. The embodiment is implemented on the premise of the technical solution of the present invention, and a detailed operation process is given.
[0032] The present invention provides a motion segmentation method based on MDT space-time saliency detection, and the process of the method is:
[0033] Given a video sequence V, each element is l(m,n,t)∈L=R 3 , the dimension of the state space x is n, and the size of the center window is n c pixels, the structural window size used to model dynamic textures is n p , the time window is τ frame;
[0034] Do the following for each pixel of each frame:
[0035] take center window of size n c ×n c×τ, the neighborhood window size is 4n c ×4n c ×τ;
[0036] Modeling window n with texture p ×n p ×τ overlays the center window up and move, as the texture sampling of the central area, and then use the EM algorithm to estimate its texture parameters. ...
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Abstract
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