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» Mean-shift Blob Tracking through Scale Space
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ICCV
2001
IEEE
14 years 6 months ago
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
IBPRIA
2009
Springer
13 years 9 months ago
A Scale Invariant Interest Point Detector for Discriminative Blob Detection
In this paper we present a novel scale invariant interest point detector of blobs which incorporates the idea of blob movement along the scales. This trajectory of the blobs throug...
Luis Ferraz, Xavier Binefa
ICVGIP
2008
13 years 6 months ago
Fragment Based Tracking for Scale and Orientation Adaptation
In this work, we propose a simple yet highly effective algorithm for tracking a target through significant scale and orientation change. We divide the target into a number of frag...
Viswanathan Srikrishnan, Tadinada Nagaraj, Subhasi...
CVPR
2005
IEEE
14 years 6 months ago
Tracking Multiple Mouse Contours (without Too Many Samples)
We present a particle filtering algorithm for robustly tracking the contours of multiple deformable objects through severe occlusions. Our algorithm combines a multiple blob track...
Kristin Branson, Serge Belongie
CF
2004
ACM
13 years 10 months ago
BLOB computing
Current processor and multiprocessor architectures are almost all based on the Von Neumann paradigm. Based on this paradigm, one can build a general-purpose computer using very fe...
Frédéric Gruau, Yves Lhuillier, Phil...