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Feature status
When we (Team Vuo) plan each release, we try to implement as many of the community's top-voted feature requests as we have time for. Vote your favorite features to the top! (How do Vuo feature requests work?)
- Submitted to vuo.org
- Reviewed by Team Vuo
- Open for community voting
- Chosen to be implemented
- Released
Votes
37 votes so far!
Who voted?
Comments
I don't have anymore votes
I don't have anymore votes but this is something I would like to see natively supported in Vuo, especially if it also supports the newer Kinect One (Kinect V2) hardware.
Before voting I would need to
Before voting I would need to know if kinect v2 is supported.
@bLackburst, that's a good
bLackburst, that's a good question, and unfortunately we don't know the answer yet. It depends on the library / 3rd-party code we would use to implement the nodes. Ideally we'd be able to find a good library that takes depth images as input, so with the Kinect v2 feature request you would automatically get Kinect v2 support in the skeletal tracking nodes as well. However, if the only available adequate libraries grab the Kinect depth images themselves instead of allowing them to be input by the user, it would depend whether those libraries support Kinect v2. We're still researching libraries and are open to suggestions.
We recently surveyed a bunch
We recently surveyed a bunch of skeletal tracking libraries. Of the 27 we looked at, 3 are viable candidates to include in Vuo:
The other 24 libraries we considered wouldn't currently work with Vuo for one reason or another: Windows only, proprietary or non-commercial license, incompatible programming language, etc.
So we will likely choose one of the above libraries, unless something better comes along by the time we implement this feature request.
All of the above libraries input an image rather than interfacing directly with a Kinect or other camera. PoseEstimation-CoreML uses a regular video camera. Skeltrack requires a depth camera. BodySkeletonTracker says that the depth camera is optional, but we weren't able to get it to track without one.
Now that we have a better idea of the libraries we might use, I've bumped this feature request's complexity rating down a notch, meaning we will be more likely to choose it compared to a more complex feature with a similar number of votes.