Abstract
This paper presents a real time algorithm for solving foot skating problem of a character whose motions are controlled in on-line puppetry manner through motion depth sensor such as Kinect. The IR (Infrared Light) projection-based motion sensor is very sensitive to occlusion and light condition. One significant artifact from these characteristics is foot skating, which means that feet are floating over the ground even when the character is standing still. Our algorithm is working as a post processing that applies the orientation data from sensors to a character first, and then keeps monitoring the current character status and applying foot skating solver next whenever the problem occurs. For this, we propose an adaptive threshold method that make positional and velocity threshold change automatically. Inter-frame smoothing is then followed to make sure there is no discontinuity on the motions.
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References
Tsunoda K, Fitzgibbon A (2010) Kinect for Xbox 360—the innovation journey (June 2010). Microsoft Research Faculty Summit
Shotton J, Fitzgibbon A, Cook M, Sharp T, Finocchio M, Moore R, Kipman A, Blake A (2011) Real-time human pose recognition in parts from single depth images. In: CVPR’2011: Proceedings of the 2011 IEEE Computer Society conference on computer vision and pattern recognition. IEEE Computer Society
Zhu Y, Fujimura K (2010) A bayesian framework for human body pose tracking from depth image sequences. Sensors 10(5):5280–5293
PrimeSense: PrimeSenseâ„¢ NITE 1.3 Algorithms notes (2010) PrimeSense
PrimeSense: PrimeSense™ NITE 1.3 Control programmer’s guide (2010) PrimeSense
Moeslund TB, Hilton A, Krüger V (2006) A survey of advances in vision-based human motion capture and analysis. Comput Vis Image Underst 104:90–126
Ganapathi V, Plagemann C, Koller D, Thrun S (2010) Real time motion capture using a single time-of-flight camera. In: CVPR’2010: Proceedings of the 2010 IEEE Computer Society conference on computer vision and pattern recognition. IEEE Computer Society
Microsoft Kinect Teardown: Microsoft Kinect Teardown, http://www.ifixit.com/Teardown/Microsoft-Kinect-Teardown/4066/
Carmody T, How motion detection works in Xbox kinect, http://www.wired.com/gadgetlab/2010/11/tonights-release-xbox-kinect-how-does-it-work/
Kovar L, Schreiner J, Gleicher M (2002) Footskate cleanup for motion capture editing. In: SCA’2002: Proceedings of the 2002 ACM SIGGRAPH/eurographics symposium on computer animation, New York, NY, USA. ACM, pp 97–104
Shin HJ, Lee J, Shin SY, Gleicher M (2001) Computer puppetry: an importance-based approach. ACM Trans Graph 20:67–94
Acknowledgments
This research was supported by the Bisa Research Grant of Keimyung University in 2012.
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Sung, M. (2013). Automatic Fixing of Foot Skating of Human Motions from Depth Sensor. In: Park, J., Ng, JY., Jeong, HY., Waluyo, B. (eds) Multimedia and Ubiquitous Engineering. Lecture Notes in Electrical Engineering, vol 240. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6738-6_50
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DOI: https://doi.org/10.1007/978-94-007-6738-6_50
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