This question relates to the Kaggle/CHALEARN Gesture Recognition challenge.
You are given a large training set of matching RGB and Depth videos that were recorded from a Kinect. I would like to use the Kinect SDK's skeletal tracking on these videos, but after a bunch of searching, I haven't found a conclusive answer to whether or not this can be done.
Is it possible to use the Kinect SDK with previously recorded Kinect video, and if so, how? thanks for the help.
It is not a feature within the SDK itself, however you can use something like the Kinect Toolbox OSS project (http://kinecttoolbox.codeplex.com/) which provides Skeleton record and replace functionality (so you don't need to stand in front of your Kinect each time). You do however still need a Kinect plugged in to your machine to use the runtime.
Related
Are there any open libraries or opensource codes available for finger position detection using Kinect ?
I have tried searching OpenNI and other libraries for Kinect but could'nt find one.
I was looking into this a few years ago, you can check out this post from then which includes a few options.
Links may be a bit outdates, for example Apple bought OpenNI, so the Forth ICS project can now be found here
You didn't mention which version of the kinect, so I'll assume it's the original kinect for xbox 360.
If you're not constrained to using kinect only, you might actually want to try the Intel RealSense SDK as it already includes hand tracking(pdf tutorial link) and the c++ sdk has wrappers for c#/java and makes the data available through websockets.
I am very new to Kinect programming and am tasked to understand several methods for 3D point cloud stitching using Kinect and OpenCV. While waiting for the Kinect sensor to be shipped over, I am trying to run the SDK samples on some data sets.
I am really clueless as to where to start now, so I downloaded some datasets here, and do not understand how I am supposed to view/parse these datasets. I tried running the Kinect SDK Samples (DepthBasic-D2D) in Visual Studio but the only thing that appears is a white screen with a screenshot button.
There seems to be very little documentation with regards to how all these things work, so I would appreciate if anyone can point me to the right resources on how to obtain and parse depth maps, or how to get the SDK Samples work.
The Point Cloud Library (or PCL) it is a good starting point to handle point cloud data obtained using Kinect and OpenNI driver.
OpenNI is, among other things, an open-source software that provides an API to communicate with vision and audio sensor devices (such as the Kinect). Using OpenNI you can access to the raw data acquired with your Kinect and use it as a input for your PCL software that can process the data. In other words, OpenNI is an alternative to the official KinectSDK, compatible with many more devices, and with great support and tutorials!
There are plenty of tutorials out there like this, this and these.
Also, this question is highly related.
I have a question about Kinect Xbox360: it can track the hand movement and fingers? I am searching on the web and I dont found any interesting about this. Another camera that I am thinking to use is the Asus Movement Sensor, but I dont know if this is better than Kinect (more options, I know that both uses OpenNI) or if both are the same.
Thanks for your time!
I would see these links:
Finger tracking in Kinect
http://www.kinecthacks.com/kinect-hand-tracking-gesture-experiment/
http://makematics.com/code/FingerTracker/
http://social.msdn.microsoft.com/Forums/en-US/c128197f-6925-49c6-bedc-d7692d03c0a9/fingers-tracking-using-kinect
http://channel9.msdn.com/coding4fun/kinect/Finger-Tracking-with-Kinect-SDK-and-the-Kinect-for-XBox-360-Device
These should get you started and give you many options. You can use the SDK or OpenNI, however my personal preference is the SDK, OpenNI or OpenKinect may be better in this case, expecially because of the FingerTracker API (3). Although the sdk has source code for finger tracking with an xbox kinect (5).
I am trying to do some work using Kinect and the Kinect SDK.
I was wondering whether it is possible to detect facial expressions (e.g. wink, smile etc) using the Kinect SDK Or, getting raw data that can help in recognizing these.
Can anyone kindly suggest any links for this ? Thanks.
I am also working on this and i considered 2 options:
Face.com API:
there is a C# client library and there are a lot of examples in their documentation
EmguCV
This guy Talks about the basic face detection using EmguCV and Kinect SDK and you can use this to recognize faces
Presently i stopped developing this but if you complete this please post a link to your code.
This is currently not featured within the Kinect for Windows SDK due to the limitations of Kinect in producing high-resolution images. That being said, libraries such as OpenCV and AForge.NET have been sucessfuly used to detected finger and facial recognition from both the raw images that are returned from Kinect, and also RGB video streams from web cams. I would use this computer vision libraries are a starting point.
Just a note, MS is releasing the "Kinect for PC" along with a new SDK version in february. This has a new "Near Mode" which will offer better resolution for close-up images. Face and finger recognition might be possible with this. You can read a MS press release here, for example:
T3.com
The new Kinect SDK1.5 is released and contains the facial detection and recognition
you can download the latest SDK here
and check this website for more details about kinect face tracking
Pylons decide a path. I want the Kinect to detect pylons so that I can make my robot to stay within the path. Is Kinect capable of object detection and is there any tutorial on this.
The kinect itself is just a device which will get you some image data and depth values (via OpenKinect or the upcoming SDK). So you're looking for a library (or combination of several ones) which can do this based on the data. Not sure there is something which provides a direct solution, but it seems a combination with OpenCV has been successful: http://www.youtube.com/watch?v=cRBozGoa69s