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Optical Flow and OpenCV

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Emgu CV Head Movement Direction Tutorial. Streaming OpenCV Videos Over the Network. Eprints.qut.edu.au/14756/1/14756.pdf. Image and Vision Computing - Human skeleton tracking from depth data using geodesic distances and optical flow. Volume 30, Issue 3, March 2012, Pages 217–226 Best of Automatic Face and Gesture Recognition 2011 Edited By Rainer Stiefelhagen, Marian Stewart Bartlett and Kevin Bowyer Abstract In this paper, we present a method for human full-body pose estimation from depth data that can be obtained using Time of Flight (ToF) cameras or the Kinect device.

Image and Vision Computing - Human skeleton tracking from depth data using geodesic distances and optical flow

Our approach consists of robustly detecting anatomical landmarks in the 3D data and fitting a skeleton body model using constrained inverse kinematics. Stream_client.c.