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PAMI
2010
238views more  PAMI 2010»
13 years 7 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
MVA
1992
166views Computer Vision» more  MVA 1992»
13 years 10 months ago
Estimation and Interpretation of Optical Flow Fields for Counting Moving Objects
The main goal of sequence analysis is the motion estimation of moving objects which are present in the scene. One of the most important approaches for motion estimation is based o...
Alberto Del Bimbo, Paolo Nesi, Jorge L. C. Sanz
ECCV
2006
Springer
14 years 10 months ago
Revisiting the Brightness Constraint: Probabilistic Formulation and Algorithms
Abstract. In this paper we introduce a principled approach to modeling the image brightness constraint for optical flow algorithms. Using a simple noise model, we derive a probabil...
Venu Madhav Govindu
CVPR
2005
IEEE
14 years 11 months ago
Illumination-Invariant Tracking via Graph Cuts
Illumination changes are a ubiquitous problem in computer vision. They present a challenge in many applications, including tracking: for example, an object may move in and out of ...
Daniel Freedman, Matthew W. Turek
CVPR
2006
IEEE
14 years 11 months ago
Robust Tracking and Stereo Matching under Variable Illumination
Illumination inconsistencies cause serious problems for classical computer vision applications such as tracking and stereo matching. We present a new approach to model illuminatio...
Jingdan Zhang, Leonard McMillan, Jingyi Yu