Detection of lounging people with a mobile robot companion

Authors:
Michael Volkhardt;Steffen Müller;Christof Schröter;Horst-Michael Groß
Affiliations:
Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, Ilmenau, Germany;Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, Ilmenau, Germany;Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, Ilmenau, Germany;Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, Ilmenau, Germany
Venue:
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
Year:
2011

Citing 8
Cited 0

Robust Real-Time Face Detection

International Journal of Computer Vision
"GrabCut": interactive foreground extraction using iterated graph cuts

ACM SIGGRAPH 2004 Papers
Histograms of Oriented Gradients for Human Detection

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Robust Object Detection with Interleaved Categorization and Segmentation

International Journal of Computer Vision
Object Detection with Discriminatively Trained Part-Based Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting people using mutually consistent poselet activations

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
LIBSVM: A library for support vector machines

ACM Transactions on Intelligent Systems and Technology (TIST)
Activity Analysis, Summarization, and Visualization for Indoor Human Activity Monitoring

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper deals with the task of searching for people in home environments with a mobile robot. The robust estimation of the user's position is an important prerequisite for human robot interaction. While detecting people in an upright pose is mainly solved, most of the user's various poses in living environments are hard to detect. We present a visual approach for the detection of people resting at previously known seating places in arbitrary poses, e.g. lying on a sofa. The method utilizes color and gradient models of the environment and a color model of the user's appearance. Evaluation is done on real-world experiments with the robot searching for the user at different places.