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» Object Tracking by Adaptive Modeling
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ICIP
2003
IEEE
14 years 11 months ago
An optical flow probabilistic observation model for tracking
In this paper, we define an observation model based on optical flow information to track objects using particle filter algorithms. Although the optical flow information enables us...
Antonio Garrido Carrillo, José M. Fuertes, ...
IBPRIA
2003
Springer
14 years 3 months ago
Probabilistic Observation Models for Tracking Based on Optical Flow
In this paper, we present two new observation models based on optical flow information to track objects using particle filter algorithms. Although optical flow information enabl...
Manuel J. Lucena, José M. Fuertes, Nicolas ...
ECCV
2010
Springer
14 years 3 months ago
Dynamic Color Flow: A Motion-Adaptive Color Model for Object Segmentation in Video
Accurately modeling object colors, and features in general, plays a critical role in video segmentation and analysis. Commonly used color models, such as global Gaussian mixtures, ...
CVPR
2007
IEEE
15 years 15 hour ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
ICSE
2005
IEEE-ACM
14 years 10 months ago
An adaptive object model with dynamic role binding
To achieve the goalof realizingobject adaptationto environments, a new role-based model Epsilon and a language EpsilonJ is proposed. In Epsilon, an environment is defined as a fie...
Tetsuo Tamai, Naoyasu Ubayashi, Ryoichi Ichiyama