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» Adaptive Background Mixture Models for Real-Time Tracking
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HUMO
2007
Springer
14 years 1 months ago
Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking
In this paper, we suggest to model priors on human motion by means of nonparametric kernel densities. Kernel densities avoid assumptions on the shape of the underlying distribution...
Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-...
CVPR
2012
IEEE
11 years 10 months ago
Visual tracking via adaptive structural local sparse appearance model
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...
Xu Jia, Huchuan Lu, Ming-Hsuan Yang
ECCV
2010
Springer
13 years 11 months ago
Closed-loop Adaptation for Robust Tracking
Model updating is a critical problem in tracking. Inaccurate extraction of the foreground and background information in model adaptation would cause the model to drift and degrade ...
FGR
1996
IEEE
198views Biometrics» more  FGR 1996»
13 years 11 months ago
Towards 3D hand tracking using a deformable model
In this paper we rst describe how we have constructed a 3D deformable Point Distribution Model of the human hand, capturing training data semi-automatically from volume images via...
Tony Heap, David Hogg
AMDO
2004
Springer
14 years 1 months ago
Recognition and Tracking of the Members of a Moving Human Body
We present a method to solve the human silhouette tracking problem using 18 major human points. We used: a simple 2D model for the human silhouette, a linear prediction technique f...
Costas Panagiotakis, Georgios Tziritas