[新闻] 嫌Kinect有延迟?期待固件升级吧

http://research.microsoft.com/apps/pubs/default.aspx?id=145347
Real-Time Human Pose Recognition in Parts from a Single Depth Image

Jamie Shotton(Microsoft Research Cambridge), Andrew Fitzgibbon, Mat Cook, and Andrew Blake
We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take an object recognition approach, designing an intermediate body parts representation that maps the difficult pose estimation problem into a simpler per-pixel classification problem. Our large and highly varied training dataset allows the classifier to estimate body parts invariant to pose, body shape, clothing, etc. Finally we generate confidence-scored 3D proposals of several body joints by reprojecting the classification result and finding local modes.

The system runs at 200 frames per second on consumer hardware. Our evaluation shows high accuracy on both synthetic and real test sets, and investigates the effect of several training parameters. We achieve state of the art accuracy in our comparison with related work and demonstrate improved generalization over exact whole-skeleton nearest neighbor matching.
简而言之, 就是M$现在有了新技术可以从单副深度图重建骨骼, 这算法在消费级硬件(也就是kinect啦)上面可以跑到两百帧, 也就是说, 在kinect内部硬的延迟可以压到5ms一下.