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ICIP
2010
IEEE
13 years 2 months ago
A cascaded hierarchical framework for moving object detection and tracking
In this paper we propose a cascaded hierarchical framework for object detection and tracking. We claim that, by integrating both detection and tracking into a unified framework, t...
Chingchun Huang, Sheng-Jyh Wang
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
ISBI
2007
IEEE
13 years 11 months ago
Advanced Particle Filtering for Multiple Object Tracking in Dynamic Fluorescence Microscopy Images
Quantitative analysis of dynamical processes in living cells by means of fluorescence microscopy imaging requires tracking of hundreds of bright spots in noisy image sequences. D...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering
PAMI
2002
112views more  PAMI 2002»
13 years 4 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent
MEMICS
2010
12 years 11 months ago
Simultaneous Tracking of Multiple Objects Using Fast Level Set-Like Algorithm
A topological flexibility of implicit active contours is of great benefit, since it allows simultaneous detection of several objects without any a priori knowledge about their num...
Martin Maska, Pavel Matula, Michal Kozubek