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» Multiple parametric motion model estimation and segmentation
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ICCV
1995
IEEE
15 years 2 months ago
3D Human Body Model Acquisition from Multiple Views
We present a novel motion-based approach for the part determination and shape estimation of a human’s body parts. The novelty of the technique is that neither a prior model of t...
Ioannis A. Kakadiaris, Dimitris N. Metaxas
ICPR
2002
IEEE
16 years 13 days ago
A Probabilistic Model for Camera Zoom Detection
Camera motion detection is essential for automated video analysis. We propose a new probabilistic model for detecting zoom-in/zoom-out operations. The model uses EM to estimate th...
Rong Jin, Yanjun Qi, Alexander G. Hauptmann
IROS
2009
IEEE
147views Robotics» more  IROS 2009»
15 years 6 months ago
Vision-based estimation of three-dimensional position and pose of multiple underwater vehicles
— This paper describes a model-based probabilistic framework for tracking a fleet of laboratory-scale underwater vehicles using multiple fixed cameras. We model the target moti...
Sachit Butail, Derek A. Paley
CVPR
2005
IEEE
16 years 1 months ago
Particle Filtering for Geometric Active Contours with Application to Tracking Moving and Deforming Objects
Geometric active contours are formulated in a manner which is parametrization independent. As such, they are amenable to representation as the zero level set of the graph of a hig...
Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, A...
CVPR
2008
IEEE
16 years 1 months ago
Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation
In background subtraction, cast shadows induce silhouette distortions and object fusions hindering performance of high level algorithms in scene monitoring. We introduce a nonpara...
André Zaccarin, Nicolas Martel-Brisson