Time-space domain motion segmentation and motion estimation method based on three-dimensional video
A motion estimation and motion segmentation technology, applied in the field of 3D video motion analysis, can solve the problems that the 2D flow field cannot truly reflect the 3D space motion changes and lack of depth information.
Active Publication Date: 2013-12-04
ZHEJIANG UNIV
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However, due to the severe nonlinearity caused by the lack of depth information, the two-dimensional flow field itself cannot truly reflect the motion changes in the three-dimensional space, making motion estimation an ill-conditioned problem.
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[0048] like figure 1 As shown, the implementation steps of the temporal and spatial domain motion segmentation and motion estimation method based on 3D video in this embodiment are as follows:
[0049] 1) Obtain a 3D video comprising a moving target and a background area through a 3D video acquisition system;
[0050] 2) Establish a two-dimensional sports field parameter model based on the three-dimensional motion characteristics of the background;
[0051] 3) Define the segmentation surface, and embed the two-dimensional sports field parameter model and the segmentation surface into the active contour model to obtain the objective function based on the space-time domain;
[0052] 4) The objective function is minimized to obtain the motion parameters of the 3D video acquisition system, the motion parameters of the moving target and the target surface.
[0053] The 3D video acquisition system refers to an acquisition system capable of acquiring 2D video plus depth map in real...
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The invention discloses a time-space domain motion segmentation and motion estimation method based on a three-dimensional video. Implementing steps of the method comprises the following steps: (1) acquiring a three-dimensional video comprising a motion object and a background area through a three-dimensional video acquisition system; (2) establishing a two-dimensional motion field parameter model based on a background three-dimensional motion characteristic; (3) defining a segmentation curved surface, and embedding the two-dimensional motion field parameter model and the segmentation curved surface into a movable contour model to obtain an object function based on a time-space domain; (4) carrying out minimizing solution on the object function to obtain a motion parameter of the three-dimensional video acquisition system, a motion parameter of the motion object and an object curved surface. The method has the advantages of accurate and reliable motion analysis, high robustness, no camera motion prior dependence, suitability for complex motion and a wide application scope.
Description
technical field [0001] The invention relates to the field of three-dimensional video motion analysis, in particular to a time-space domain motion segmentation and motion estimation method based on 3D video in complex situations such as camera motion. Background technique [0002] Three-dimensional video refers to the two-dimensional image acquired in real time by the 3D video acquisition system plus depth information, that is, grayscale image and depth image. Motion analysis based on 3D video, especially in the case of camera system motion, is an important and challenging research direction of computer vision, and its application fields include 3DTV, machine vision, video compression (MPEG-4 ), automatic navigation, etc. Motion analysis includes two aspects of motion segmentation and motion estimation. In fact, these are two closely related and complementary topics. On the one hand, accurate motion segmentation can alleviate the uncertainty of motion estimation, especially...
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IPC IPC(8): G06T7/20G06T7/00H04N13/00
Inventor 于慧敏王诗言
Owner ZHEJIANG UNIV