Exemplar Based Pose Correction Method For Microsoft Kinect Based System

  IJRES-book-cover  International Journal of Recent Engineering Science (IJRES)  
  
© 2015 by IJRES Journal
Volume-2 Issue-3
Year of Publication : 2015
Authors : Priya Ashtankar, Vaidehi Baporikar
DOI : 10.14445/23497157/IJRES-V2I3P104

How to Cite?

Priya Ashtankar, Vaidehi Baporikar, "Exemplar Based Pose Correction Method For Microsoft Kinect Based System," International Journal of Recent Engineering Science, vol. 2, no. 3, pp. 21-22, 2015. Crossref, https://doi.org/10.14445/23497157/IJRES-V2I3P104

Abstract
With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual (RGB) sensing has become available for widespread use. The launch of Xbox Kinect has built a very successful computer vision product and made a big impact on the gaming industry. we propose an exemplar-based method to learn to correct the initially estimated poses also working with an inhomogeneous systematic bias by leveraging the exemplar information within a specific human action domain to increase the accuracy of pose correction Our proposed approach basically deals with the facial landmark correction and color controls also illustrate that our algorithm can improve the accuracy of other detection/estimation systems.

Keywords
Kinect, background removal, pose correction, pose tag, skeleton

Reference
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