Systems and methods for tracking a model
An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A model may be adjusted based on a location or position of one or more extremities estimated or determined for a human target in the grid of voxels. The model may also be adjusted based on a default location or position of the model in a default pose such as a T-pose, a DaVinci pose, and/or a natural pose.
1. A method for tracking a user, comprising:
receiving a depth image that was captured by a depth camera;
identifying an estimated location or position of a part of the user in the depth image;
adjusting a model of the user based on the estimated location or position of the part of the user; and
in response to a failure to identify a location or position of the part of the user in a second depth image, associating the part of the user with a portion of the second depth image based on a location or position of a default position of the part of the user.
2. The method of claim 1 , further comprising:
mapping the model to an on-screen avatar.
3. The method of claim 1 , further comprising:
providing the model to a gesture library.
4. The method of claim 1 , wherein the model comprises a skeletal model having joints and bones.
5. The method of claim 4 , wherein associating the part of the user with the portion of the second depth image:
adjusting a joint of the skeletal model to the portion of the second depth image.
6. The method of claim 1 , further comprising:
determining that the estimated location or position is valid.
7. The method of claim 1 , further comprising:
adjusting the model based on a geometric constraint.
8. The method of claim 1 , wherein the default pose comprises:
a T-Pose, a Di Vinci pose, or a natural pose.
9. The method of claim 1 , further comprising:
magnetizing the model to one or more pixels in the depth image.
10. The method of claim 1 , further comprising:
determining that a pose associated with the model is valid.
11. The method of claim 1 , further comprising:
refining the model based on the received depth image.
12. The method of claim 1 , further comprising:
downsampling pixels in the depth image before identifying the estimated location or position of the part of the user.
13. A computer readable storage device for tracking a user, the computer readable storage medium having stored thereon computer executable instructions that, when executed on a computer, cause the computer to perform operations comprising:
receiving a depth image;
identifying an estimated location or position of a part of the user in the depth image;
adjusting a model of the user based on the estimated location or position of the part of the user; and
in response to a failure to identify a location or position of the part of the user in a second depth image, associating the part of the user with a portion of the second depth image based on a location or position of a default position of the part of the user.
14. The computer readable storage device of claim 13 , further bearing computer-executable instructions that, when executed on the computer, cause the computer to perform operations comprising:
mapping the model to an on-screen avatar.
15. The computer readable storage device of claim 13 , further bearing computer-executable instructions that, when executed on the computer, cause the computer to perform operations comprising:
providing the model to a gesture library.
16. The computer readable storage device of claim 13 , wherein the model comprises:
a skeletal model having joints and bones.
17. The computer readable storage device of claim 13 , wherein the instructions further comprise:
determining whether the estimated location or position is valid.
18. A system for tracking a user, comprising:
a processor; and
a memory communicatively coupled to the processor when the system is operational, the memory bearing processor-executable instructions that, when executed on the processor, cause the system to at least:
receive a depth image;
identify an estimated location or position of a part of the user in the depth image;
adjust a model of the user based on the estimated location or position of the part of the user; and
in response to a failure to identify a location or position of the part of the user in a second depth image, associate the part of the user with a portion of the second depth image based on a location or position of a default position of the part of the user.
19. The system of claim 18 , wherein the memory further bears processor-executable instructions that, when executed on the processor, cause the system to at least:
map the model to an on-screen avatar.
20. The system of claim 18 , wherein the memory further bears processor-executable instructions that, when executed on the processor, cause the system to at least:
provide the model to a gesture library.