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CVPR
2010
IEEE
13 years 5 months ago
A probabilistic framework for joint segmentation and tracking
Most tracking algorithms implicitly apply a coarse segmentation of each target object using a simple mask such as a rectangle or an ellipse. Although convenient, such coarse segme...
Chad Aeschliman, Johnny Park, Avinash C. Kak
ICIP
2005
IEEE
14 years 6 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
IJCV
2007
146views more  IJCV 2007»
13 years 4 months ago
Image-Based Modeling by Joint Segmentation
The paper first traces the image-based modeling back to feature tracking and factorization that have been developed in the group led by Kanade since the eighties. Both feature tra...
Long Quan, Jingdong Wang, Ping Tan, Lu Yuan
ICPR
2004
IEEE
14 years 6 months ago
A Probabilistic Framework for Joint Head Tracking and Pose Estimation
Head Tracking and pose estimation are usually considered as two sequential and separate problems: pose is estimated on the head patch provided by a tracking module. However, preci...
Jean-Marc Odobez, Sileye O. Ba
ISBI
2008
IEEE
14 years 5 months ago
A new detection scheme for multiple object tracking in fluorescence microscopy by joint probabilistic data association filtering
Tracking of multiple objects in biological image data is a challenging problem due largely to poor imaging conditions and complicated motion scenarios. Existing tracking algorithm...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering