System for reconstructing the 3-dimensional motions of a human figure from a monocularly-viewed image sequence
First Claim
1. A system for reconstructing 3-dimensional motion of a human figure from a monocularly viewed image sequence of a person, comprising:
- means for digitizing said monocularly viewed image sequence;
means for providing 3-d motion training data including representative motions and markers therefor as a training image sequence;
means for grouping said 3-d motion training data and said digitized image sequence into temporal segments, each temporal segment including a predetermined number of frames;
means, coupled to said means for digitizing and said means for grouping, for optimizing said temporal segments of said 3-d motion training data according to said markers so as to find a linear combination of said temporal segments of said 3-d motion training data corresponding to said monocularly viewed image sequence.
2 Assignments
0 Petitions
Accused Products
Abstract
A system is provided for reconstructing the 3-dimensional motions of a hu figure from a monocularly viewed image sequence in which a statistical approach is used coupled with the use of a set of motion capture examples to build a gaussian probability model for short human motion sequences. In a simplified rendering domain, this yields an optimal 3-d estimate of human motion used to create realistic animations given a 2-d temporal sequence. The subject system is also useful to identify which motion modes are difficult to estimate. In one embodiment, a stick figure is overlaid on the input video image to allow manual correction of incorrectly tracked body parts. The utilization of stick figure correction permits manual correction for a more accurate 3-d reconstruction of the motion depicted in the input video sequence. An interactive tracking system processes real video sequences, and achieves good 3-d reconstructions of the human figure motion.
-
Citations
10 Claims
-
1. A system for reconstructing 3-dimensional motion of a human figure from a monocularly viewed image sequence of a person, comprising:
-
means for digitizing said monocularly viewed image sequence; means for providing 3-d motion training data including representative motions and markers therefor as a training image sequence; means for grouping said 3-d motion training data and said digitized image sequence into temporal segments, each temporal segment including a predetermined number of frames; means, coupled to said means for digitizing and said means for grouping, for optimizing said temporal segments of said 3-d motion training data according to said markers so as to find a linear combination of said temporal segments of said 3-d motion training data corresponding to said monocularly viewed image sequence. - View Dependent Claims (2, 3, 4, 5, 6, 7)
-
-
8. A method for estimating 3-d motion of a moving input figure in a sequence of input frames;
- comprising the step of;
providing a sequence of training frames, the training frames including a moving training figure, the moving training figure including markers; grouping the training frames into a plurality of training segments, each training segment including a predetermined number of temporally adjacent frames of the sequence; determining 3-d motion of the training figure for each training segment from the markers; grouping the input frames into a plurality of input segments, each input segment including a predetermined number of temporally adjacent input frames; locating a linear combination of training segments that substantially corresponds to the sequence of input segments; and extracting the 3-d motions of the training figure in the linear combination of training segments to estimate the 3-d motion of the moving input figure. - View Dependent Claims (9, 10)
- comprising the step of;
Specification