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HUMO
2007
Springer
15 years 11 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-...
SIGGRAPH
2010
ACM
15 years 9 months ago
Seeing is believing: body motion dominates in multisensory conversations
In many scenes with human characters, interacting groups are an important factor for maintaining a sense of realism. However, little is known about what makes these characters app...
Cathy Ennis, Rachel McDonnell, Carol O'Sullivan
DAGM
2010
Springer
15 years 5 months ago
Complex Motion Models for Simple Optical Flow Estimation
The selection of an optical flow method is mostly a choice from among accuracy, efficiency and ease of implementation. While variational approaches tend to be more accurate than lo...
Claudia Nieuwenhuis, Daniel Kondermann, Christoph ...
IJCV
2010
152views more  IJCV 2010»
15 years 3 months ago
Learning Articulated Structure and Motion
Humans demonstrate a remarkable ability to parse complicated motion sequences into their constituent structures and motions. We investigate this problem, attempting to learn the st...
David A. Ross, Daniel Tarlow, Richard S. Zemel
CVPR
2011
IEEE
14 years 9 months ago
Track to the future: Spatio-temporal video segmentation with long-range motion cues
Video provides not only rich visual cues such as motion and appearance, but also much less explored long-range temporal interactions among objects. We aim to capture such interact...
José, Lezama, Karteek Alahari, Josef Sivic, Ivan ...