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» A Probabilistic Background Model for Tracking
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CVPR
2005
IEEE
15 years 11 months ago
Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking
This paper presents an online learning algorithm to construct from video sequences an image-based representation that is useful for recognition and tracking. For a class of object...
Kuang-Chih Lee, David J. Kriegman
57
Voted
ICPR
2008
IEEE
15 years 11 months ago
Variational Maximum A Posteriori model similarity and dissimilarity matching
A new variational Maximum A Posteriori (MAP) contextual modeling approach is presented that minimizes the product of two ratios: (a) the ratio of the model distribution to the dis...
John Chiverton, Majid Mirmehdi, Xianghua Xie
ECCV
2008
Springer
15 years 11 months ago
A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking
Abstract. This paper presents a novel probabilistic approach to integrating multiple cues in visual tracking. We perform tracking in different cues by interacting processes. Each p...
Wei Du, Justus H. Piater
WOLLIC
2009
Springer
15 years 4 months ago
Logic-Based Probabilistic Modeling
After briefly mentioning the historical background of PLL/SRL, we examine PRISM, a logic-based modeling language, as an instance of PLL/SRL research. We first look at the distrib...
Taisuke Sato
89
Voted
PRIS
2001
14 years 11 months ago
Improving the Robustness of Parametric Shape Tracking with Switched Multiple Models
This paper addresses the problem of tracking objects with complex motion dynamics or shape changes. It is assumed that some of the visual features detected in the image (e.g., edg...
Jacinto C. Nascimento, Jorge S. Marques