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» Novel Observation Model for Probabilistic Object Tracking
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BIBM
2007
IEEE
162views Bioinformatics» more  BIBM 2007»
14 years 3 months ago
Multiple Interacting Subcellular Structure Tracking by Sequential Monte Carlo Method
With the wide application of green fluorescent protein (GFP) in the study of live cells, there is a surging need for the computer-aided analysis on the huge amount of image seque...
Quan Wen, Jean Gao, Kate Luby-Phelps
SENSYS
2006
ACM
14 years 3 months ago
Target tracking with binary proximity sensors: fundamental limits, minimal descriptions, and algorithms
We explore fundamental performance limits of tracking a target in a two-dimensional field of binary proximity sensors, and design algorithms that attain those limits. In particul...
Nisheeth Shrivastava, Raghuraman Mudumbai, Upamany...
IEEEARES
2008
IEEE
14 years 3 months ago
Reliability Analysis using Graphical Duration Models
Reliability analysis has become an integral part of system design and operating. This is especially true for systems performing critical tasks such as mass transportation systems....
Roland Donat, Laurent Bouillaut, Patrice Aknin, Ph...
CVPR
2012
IEEE
11 years 11 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
ITIIS
2010
343views more  ITIIS 2010»
13 years 3 months ago
Dynamic Manipulation of a Virtual Object in Marker-less AR system Based on Both Human Hands
This paper presents a novel approach to control the augmented reality (AR) objects robustly in a marker-less AR system by fingertip tracking and hand pattern recognition. It is kn...
Junchul Chun, Byungsung Lee