A tutorial on hidden Markov models and selected applications in speech recognition
Readings in speech recognition
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
In Defense of the Eight-Point Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Localization in sensor networks
Wireless sensor networks
Activity Summarisation and Fall Detection in a Supportive Home Environment
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Panoptes: scalable low-power video sensor networking technologies
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Cyclops: in situ image sensing and interpretation in wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
XYZ: a motion-enabled, power aware sensor node platform for distributed sensor network applications
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Approximate initialization of camera sensor networks
EWSN'07 Proceedings of the 4th European conference on Wireless sensor networks
Model-based design exploration of wireless sensor node lifetimes
EWSN'07 Proceedings of the 4th European conference on Wireless sensor networks
HMM based falling person detection using both audio and video
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
Continuous camera-based monitoring for assistive environments
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Studying vision-based multiple-user interaction with in-home large displays
HCC '08 Proceedings of the 3rd ACM international workshop on Human-centered computing
Video-Based Fall Detection in the Home Using Principal Component Analysis
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Multi-modal fall detection within the WeCare framework
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Smart video systems in police cars
Proceedings of the international conference on Multimedia
The development of a detection system for seniors' accidental fall from bed using cameras
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Privacy protected life-context-aware alert by simplified sound spectrogram from microphone sensor
CASEMANS '11 Proceedings of the 5th ACM International Workshop on Context-Awareness for Self-Managing Systems
Intelligent trainee behavior assessment system for medical training employing video analysis
Pattern Recognition Letters
Eigenspace-based fall detection and activity recognition from motion templates and machine learning
Expert Systems with Applications: An International Journal
Zee: zero-effort crowdsourcing for indoor localization
Proceedings of the 18th annual international conference on Mobile computing and networking
A survey on fall detection: Principles and approaches
Neurocomputing
Fall detection in multi-camera surveillance videos: experimentations and observations
Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare
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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.