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» Object Tracking by Adaptive Modeling
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CVPR
2005
IEEE
16 years 4 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
142
Voted
BMCBI
2006
126views more  BMCBI 2006»
15 years 2 months ago
Genomes as geography: using GIS technology to build interactive genome feature maps
Background: Many commonly used genome browsers display sequence annotations and related attributes as horizontal data tracks that can be toggled on and off according to user prefe...
Mary E. Dolan, Constance C. Holden, M. Kate Beard,...
ICCV
1995
IEEE
15 years 6 months ago
Topologically Adaptable Snakes
This paper presents a topologically adaptable snakes model for image segmentation and object representation. The model is embedded in the framework of domain subdivision using sim...
Tim McInerney, Demetri Terzopoulos
124
Voted
ECCV
2000
Springer
16 years 4 months ago
Quasi-Random Sampling for Condensation
The problem of tracking pedestrians from a moving car is a challenging one. The Condensation tracking algorithm is appealing for its generality and potential for real-time implemen...
Vasanth Philomin, Ramani Duraiswami, Larry S. Davi...
150
Voted
SIBGRAPI
2005
IEEE
15 years 8 months ago
Background Subtraction and Shadow Detection in Grayscale Video Sequences
Tracking moving objects in video sequence is an important problem in computer vision, with applications several fields, such as video surveillance and target tracking. Most techn...
Julio Cezar Silveira Jacques Jr., Cláudio R...