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119
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ISBI
2007
IEEE
15 years 8 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
108
Voted
ICMCS
2006
IEEE
234views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Decentralized Multiple Camera Multiple Object Tracking
In this paper, we present a novel decentralized Bayesian framework using multiple collaborative cameras for robust and efficient multiple object tracking with significant and pe...
Wei Qu, Dan Schonfeld, Magdi A. Mohamed
ICRA
2003
IEEE
231views Robotics» more  ICRA 2003»
15 years 7 months ago
Online simultaneous localization and mapping with detection and tracking of moving objects: theory and results from a ground veh
−−−− The simultaneous localization and mapping (SLAM) with detection and tracking of moving objects (DATMO) problem is not only to solve the SLAM problem in dynamic environ...
Chieh-Chih Wang, Charles E. Thorpe, Sebastian Thru...
112
Voted
IJCV
2008
266views more  IJCV 2008»
15 years 2 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...
133
Voted
TSP
2010
14 years 9 months ago
Joint detection and estimation of multiple objects from image observations
The problem of jointly detecting multiple objects and estimating their states from image observations is formulated in a Bayesian framework by modeling the collection of states as ...
Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Sute...