Home > slashdot > Kinect’s AI Breakthrough Explained

Kinect’s AI Breakthrough Explained

March 26th, 2011 03:58 admin Leave a comment Go to comments


mikejuk writes “Microsoft Research has just published a scientific paper (PDF) and a video showing how the Kinect body tracking algorithm works — it’s almost as impressive as some of the uses the Kinect has been put to. This article summarizes how Kinect does it. Quoting: ‘… What the team did next was to train a type of classifier called a decision forest, i.e. a collection of decision trees. Each tree was trained on a set of features on depth images that were pre-labeled with the target body parts. That is, the decision trees were modified until they gave the correct classification for a particular body part across the test set of images. Training just three trees using 1 million test images took about a day using a 1000-core cluster.’”

Source: Kinect’s AI Breakthrough Explained

Related Articles:

  1. Microsoft Extends 360 With Avatar Kinect, Netflix Streaming And Hulu Plus With Kinect
  2. Kinect Can Detect Clenched Fist
  3. Microsoft Research Brings Kinect-Style Depth Perception to Ordinary Cameras
  4. Kinect Tangible Table Prototype
  5. Using Kinect For a Touch-free Interface In Surgery
blog comments powered by Disqus