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» Dynamic range estimation for nonlinear systems
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TIP
2010
141views more  TIP 2010»
14 years 4 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina
IJCAI
1997
14 years 10 months ago
Scaling the Dynamic Approach to Autonomous Path Planning: Planning Horizon Dynamics
In the dynamical systems approach to robot path planning both sensed and remembered information contribute to shape a nonlinear vector eld that governs the behavior of an autonomo...
Edward W. Large, Henrik I. Christensen, Ruzena Baj...
CVPR
1999
IEEE
15 years 11 months ago
Background Estimation and Removal Based on Range and Color
Background estimation and removal based on the joint use of range and color data produces superior results than can be achieved with either data source alone. This is increasingly...
Gaile G. Gordon, Trevor Darrell, Michael Harville,...
ECCV
2006
Springer
15 years 11 months ago
Robust Attentive Behavior Detection by Non-linear Head Pose Embedding and Estimation
We present a new scheme to robustly detect a type of human attentive behavior, which we call frequent change in focus of attention (FCFA), from video sequences. FCFA behavior can b...
Nan Hu, Weimin Huang, Surendra Ranganath
ICASSP
2009
IEEE
15 years 4 months ago
Instantaneous pose estimation using rotation vectors
An algorithm for estimating the pose, i.e., translation and rotation, of an extended target object is introduced. Compared to conventional methods, where pose estimation is perfor...
Frederik Beutler, Marco F. Huber, Uwe D. Hanebeck