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ICRA
2002
IEEE
114views Robotics» more  ICRA 2002»
13 years 11 months ago
Learning Motion Patterns of Persons for Mobile Service Robots
We propose a method for learning models of people’s motion behaviors in an indoor environment. As people move through their environments, they do not move randomly. Instead, the...
Maren Bennewitz, Wolfram Burgard, Sebastian Thrun
PRL
2006
95views more  PRL 2006»
13 years 6 months ago
Evolving visual sonar: Depth from monocular images
To recover depth from images, the human visual system uses many monocular depth cues, which vision research has only begun to explore. Because a given image can have many possible...
Martin C. Martin
CLEAR
2007
Springer
211views Biometrics» more  CLEAR 2007»
14 years 13 days ago
An Appearance-Based Particle Filter for Visual Tracking in Smart Rooms
This paper presents a visual particle filter for tracking a variable number of humans interacting in indoor environments, using multiple cameras. It is built upon a 3-dimensional,...
Oswald Lanz, Paul Chippendale, Roberto Brunelli
ASSETS
2006
ACM
14 years 7 days ago
Interactive tracking of movable objects for the blind on the basis of environment models and perception-oriented object recognit
In previous work we have presented a prototype of an assistant system for the blind that can be used for self-localization and interactive object identification of static objects ...
Andreas Hub, Tim Hartter, Thomas Ertl
AROBOTS
2010
194views more  AROBOTS 2010»
13 years 4 months ago
Computationally efficient solutions for tracking people with a mobile robot: an experimental evaluation of Bayesian filters
Abstract Modern service robots will soon become an essential part of modern society. As they have to move and act in human environments, it is essential for them to be provided wit...
Nicola Bellotto, Huosheng Hu