Title :
SMARTCLASSYSURV - a smart camera network for distributed tracking and activity recognition and its application to assisted living
Author :
Fleck, Sven ; Loy, Roland ; Vollrath, Christian ; Walter, Florian ; Straßer, Wolfgang
Author_Institution :
Univ. of Tubingen, Tubingen
Abstract :
Western societies are aging rapidly. According to [1] the US population over age 85 will triple from 4.5 million in 2003 to 14.2 million by 2040. Automated 24/7 surveillance to ensure safety of the elderly while respecting privacy becomes a major challenge. As a first step, we present a fully distributed system and architecture based on a network of smart cameras to perform geo-referenced tracking and activity recognition. Additionally an intuitive visualization is presented, where all information is integrated in one world model that is available ubiquitously. At a real world installation in an assisted living home, we demonstrate first results regarding falling person detection as one major activity for assisted living systems.
Keywords :
surveillance; tracking; video cameras; video surveillance; SMARTCLASSYSURV; US population; activity recognition; assisted living systems; distributed system; distributed tracking; georeferenced tracking; intuitive visualization; smart camera network; Aging; Counting circuits; Data visualization; Layout; Privacy; Prototypes; Smart cameras; Support vector machine classification; Support vector machines; Surveillance; Smart cameras; activity recognition; assisted living; situation awareness; tracking;
Conference_Titel :
Distributed Smart Cameras, 2007. ICDSC '07. First ACM/IEEE International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-1-4244-1353-9
Electronic_ISBN :
978-1-4244-1354-6
DOI :
10.1109/ICDSC.2007.4357526
