Multi-camera indoor video processing for context awareness

Authors:
L. Marcenaro;I. Magliano;A. Beoldo;M. Valla;C. S. Regazzoni
Affiliations:
TechnoAware srl, Genova, Italy;DIBE University of Genoa, Genova, Italy;DIBE University of Genoa, Genova, Italy;Telecom Italia, Torino, Italy;DIBE University of Genoa, Genova, Italy
Venue:
Proceedings of the 3rd international conference on Mobile multimedia communications
Year:
2007

Citing 7
Cited 0

Direct Least Square Fitting of Ellipses

IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Patterns of Activity Using Real-Time Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence
Advanced image-processing tools for counting people in tourist site-monitoring applications

Signal Processing
Using and Determining Location in a Context-Sensitive Tour Guide

Computer
Kernel-Based Object Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence
Elliptical Head Tracking Using Intensity Gradients and Color Histograms

CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Adding Generic Contextual Capabilities to Wearable Computers

ISWC '98 Proceedings of the 2nd IEEE International Symposium on Wearable Computers

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper a system is presented able to acquire images from multiple indoor network cameras and extract contextual information about persons detected within the considered environment. Distributed system architecture allows one to process images from several cameras on a network of PCs. Objects tracking and posture classification techniques are used in order to extract contextual information from video. These information are stored in a remote database that is accessed from an higher level application that is able to interact with users' mobile phones for delivering context-based-services. In particular, proposed scene understanding techniques have been used for implementing an automatic terminal silencing service in case of a meeting and a sos-call in case of a falling person.