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15

ICIP
2009
IEEE

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3D arm movement tracking using adaptive particle filter

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3D arm movement tracking using adaptive particle filter

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In this paper, we present a monocular 3D arm movement tracking system using adaptive particle filter. The effective sample size (ESS) is analyzed in the adaptive particle filter to tackle the abrupt dynamic changes of the arm movement. Sample-efficiency-optimized auxiliary particle filter (SEOAPF) is invoked when low ESS is detected. In SEO-APF, the auxiliary variable weights are computed to minimize the true importance weight variance, so the tracking results and the efficiency of the particle filters are improved. Experimental results have demonstrated the efficacy of this approach for 3D arm movement tracking.

Feng Guo, Gang Qian

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Adaptive Particle Filter | Arm Movement | ICIP 2009 | Image Processing | Particle Filters |

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Added	19 Feb 2011
Updated	19 Feb 2011
Type	Journal
Year	2009
Where	ICIP
Authors	Feng Guo, Gang Qian

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