Comparison of stochastic filtering methods for 3D tracking

DOI10.1016/J.PATCOG.2011.03.027zbMath1218.68176OpenAlexW2046777839MaRDI QIDQ2276014

Aamir Saeed Malik, Yasir Salih

Publication date: 10 August 2011

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2011.03.027

zbMATH Keywords

Kalman filterparticle filter3D trackingcondensation algorithmarticulated object trackingmotion cue

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Machine vision and scene understanding (68T45)

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Uses Software

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Cites Work

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• Real-time hand tracking using a mean shift embedded particle filter
• A novel algorithm for estimation of depth map using image focus for 3D shape recovery in the presence of noise
• Exploiting Motion Correlations in 3-D Articulated Human Motion Tracking

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