Paper Info
Title
Aging in place: fall detection and localization in a distributed smart camera network
Abstract
This paper presents the design, implementation and evaluation of a distributed network of smart cameras whose function is to detect and localize falls, an important application in elderly living environments. A network of overlapping smart cameras uses a decentralized procedure for computing inter-image homographies that allows the location of a fall to be reported in 2D world coordinates by calibrating only one camera. Also, we propose a joint routing and homography transformation scheme for multi-hop localization that yields localization errors of less than 2 feet using very low resolution images. Our goal is to demonstrate that such a distributed low-power system can perform adequately in this and related applications. A prototype implementation is given for low-power Agilent/UCLA Cyclops cameras running on the Crossbow MICAz platform. We demonstrate the effectiveness of the fall detection as well as the precision of the localization using a simulation of our sample implementation.
Year
DOI
Venue
2007
10.1145/1291233.1291435
ACM Multimedia 2001
Keywords
Field
DocType
yields localization error,smart camera network,low-power agilent,low-power system,fall detection,sample implementation,multi-hop localization,prototype implementation,smart camera,ucla cyclops camera,crossbow micaz platform,activity recognition,camera sensors,low resolution
Computer vision,Activity recognition,Image sensor,Computer science,Visual sensor network,Smart camera,Homography,Artificial intelligence,Crossbow,Calibration
Conference
Citations 
PageRank 
References 
35
3.69
13
Authors
3
Name
Order
Citations
PageRank
Adam Williams19810.24
Deepak Ganesan23914376.82
Allen Hanson321133.75