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» Topology Inference for a Vision-Based Sensor Network
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CRV
2005
IEEE
208views Robotics» more  CRV 2005»
13 years 10 months ago
Topology Inference for a Vision-Based Sensor Network
In this paper we describe a technique to infer the topology and connectivity information of a network of cameras based on observed motion in the environment. While the technique c...
Dimitri Marinakis, Gregory Dudek
CVPR
1999
IEEE
14 years 7 months ago
Vision-Based Speaker Detection Using Bayesian Networks
The development of user interfaces based on vision and speech requires the solution of a challenging statistical inference problem: The intentions and actions of multiple individu...
James M. Rehg, Kevin P. Murphy, Paul W. Fieguth
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
13 years 11 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
13 years 11 months ago
A Practical Algorithm for Network Topology Inference
— When a network of robots or static sensors is emplaced in an environment, the spatial relationships between the sensing units must be inferred or computed for most key applicat...
Dimitri Marinakis, Gregory Dudek
TROB
2008
113views more  TROB 2008»
13 years 4 months ago
Occam's Razor Applied to Network Topology Inference
We present a method for inferring the topology of a sensor network given nondiscriminating observations of activity in the monitored region. This is accomplished based on no prior ...
Dimitri Marinakis, Gregory Dudek