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» Inferring High-Level Behavior from Low-Level Sensors
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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
VLDB
2007
ACM
122views Database» more  VLDB 2007»
14 years 5 months ago
MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models
The modeling of high level semantic events from low level sensor signals is important in order to understand distributed phenomena. For such content-modeling purposes, transformat...
Arnab Bhattacharya, Anand Meka, Ambuj K. Singh
KI
2008
Springer
13 years 4 months ago
Monitoring Movement Behavior by Means of a Large Area Proximity Sensor Array in the Floor
This paper describes an innovative sensor system which can detect and track people in a room by means of an array of capacitive sensors beneath the floor covering. By combining cut...
Axel Steinhage, Christl Lauterbach
MVA
2006
205views Computer Vision» more  MVA 2006»
13 years 4 months ago
Ontological inference for image and video analysis
Abstract This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
Christopher Town
JUCS
2008
129views more  JUCS 2008»
13 years 4 months ago
Easing the Smart Home: Semi-automatic Adaptation in Perceptive Environments
: This paper analyses the requirements of automation and adaptation in the so called perceptive environments. These environments are places with the ability of perceiving the conte...
Manuel García-Herranz, Pablo A. Haya, Abrah...