Systems and methods for real-time rigid body motion prediction
Methods and systems for real-time rigid body motion prediction are provided. The method includes determining an occurrence of an untracked rigid body in a current frame, the untracked rigid body being tracked in a previous frame. The method also includes predicting a position in the current frame of the untracked rigid body using previously tracked data in the previous frame. The method also includes identifying unlabeled markers in the current frame that are proximate to the predicted position of the untracked rigid body. The method also includes reconstructing the untracked rigid body in the current frame based on the identifying of the unlabeled markers.
1. A computer-implemented method for rigid body motion prediction comprising:
tracking movements of at least one rigid body;
determining an occurrence of an untracked rigid body in a current frame, the untracked rigid body comprising a rigid body that was tracked in a previous frame;
predicting a position in the current frame of the untracked rigid body using previously tracked data of the untracked rigid body in the previous frame;
identifying unlabeled markers in the current frame that are proximate to the predicted position of the untracked rigid body in the current frame; and
reconstructing the untracked rigid body in the current frame based on the identifying.
2. The computer-implemented method of claim 1 , further comprising:
predicting a current orientation in the current frame of the untracked rigid body using the previously tracked data in the previous frame.
3. The computer-implemented method of claim 1 , wherein the predicting further comprises:
interpolating angular velocity, angular acceleration, linear velocity, and/or linear acceleration of the untracked rigid body using the previously tracked data.
4. The computer-implemented method of claim 1 , further comprising:
labeling the unlabeled markers corresponding to the untracked rigid body.
5. The computer-implemented method of claim 1 , further comprising:
comparing currently tracked rigid bodies in the current frame with previously tracked rigid bodies in the previous frame.
6. The computer-implemented method of claim 5 , further comprising:
defining a maximum radius about each previously tracked rigid body.
7. The computer-implemented method of claim 6 , further comprising:
filtering out the untracked rigid body when a distance between the untracked rigid body and the previously tracked rigid body exceeds the maximum radius.
8. The computer-implemented method of claim 1 , wherein each previously tracked rigid body comprises labeled markers, further comprising:
defining a radius around each labeled marker.
9. The computer-implemented method of claim 8 , further comprising:
filtering out the unlabeled markers when a distance between the unlabeled markers and the labeled markers exceeds the radius.
10. The computer-implemented method of claim 1 , wherein the reconstructing further comprises:
defining at least one vector based on the unlabeled markers; and
defining a pivot point using the previously tracked data to reconstruct a rigid body pose.
11. The computer-implemented method of claim 10 , further comprising:
determining a midpoint between the unlabeled markers.
12. A system for rigid body motion prediction, comprising:
a memory storing sequences of instructions; and
a processor configured to execute the sequences of instructions which, when executed, causes the processor to perform:
tracking movements of at least one rigid body;
determining an occurrence of an untracked rigid body in a current frame, the untracked rigid body comprising a rigid body that was tracked in a previous frame;
predicting a position in the current frame of the untracked rigid body using previously tracked data of the untracked rigid body in the previous frame;
identifying unlabeled markers in the current frame that are proximate to the predicted position of the untracked rigid body in the current frame; and
reconstructing the untracked rigid body in the current frame based on the identifying.
13. The system of claim 12 , further comprising stored sequences of instructions, which when executed by the processor, cause the processor to perform:
predicting a current orientation in the current frame of the untracked rigid body using previously tracked data in the previous frame.
14. The system of claim 12 , further comprising stored sequences of instructions, which when executed by the processor, cause the processor to perform:
interpolating angular velocity, angular acceleration, linear velocity, and/or linear acceleration of the untracked rigid body using previously tracked data in the previous frame.
15. The system of claim 12 , further comprising stored sequences of instructions, which when executed by the processor, cause the processor to perform:
labeling the unlabeled markers corresponding to the untracked rigid body.
16. The system of claim 12 , further comprising stored sequences of instructions, which when executed by the processor, cause the processor to perform:
comparing currently tracked rigid bodies in the current frame with previously tracked rigid bodies in the previous frame.
17. The system of claim 16 , further comprising stored sequences of instructions, which when executed by the processor, cause the processor to perform:
defining a maximum radius about each previously tracked rigid body.
18. The system of claim 17 , further comprising stored sequences of instructions, which when executed by the processor, cause the processor to perform:
filtering out the untracked rigid body when a distance between the untracked rigid body and the previously tracked rigid body exceeds the maximum radius.
19. A non-transitory computer readable storage medium is provided including instructions that, when executed by a processor, case the processor to perform a method for rigid body motion prediction, the method comprising:
tracking movements of at least one rigid body;
determining an occurrence of an untracked rigid body in a current frame, the untracked rigid body comprising a rigid body that was tracked in a previous frame;
predicting a position in the current frame of the untracked rigid body using previously tracked data of the untracked rigid body in the previous frame;
identifying unlabeled markers in the current frame that are proximate to the predicted position of the untracked rigid body in the current frame; and
reconstructing the untracked rigid body in the current frame based on the identifying.
20. The non-transitory computer readable storage medium of claim 19 , wherein the method further comprises:
predicting a current orientation in the current frame of the untracked rigid body using the previously tracked data in the previous frame.