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» Tracking People with a Sparse Network of Bearing Sensors
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EUROSSC
2006
Springer
13 years 9 months ago
Dynamic Bayesian Networks for Visual Surveillance with Distributed Cameras
Abstract. This paper presents a surveillance system for tracking multiple people through a wide area with sparsely distributed cameras. The computational core of the system is an a...
Wojciech Zajdel, Ali Taylan Cemgil, Ben J. A. Kr&o...
IPSN
2009
Springer
14 years 4 days ago
Near-optimal Bayesian localization via incoherence and sparsity
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
Volkan Cevher, Petros Boufounos, Richard G. Barani...
HUC
2010
Springer
13 years 5 months ago
Tasking networked CCTV cameras and mobile phones to identify and localize multiple people
We present a method to identify and localize people by leveraging existing CCTV camera infrastructure along with inertial sensors (accelerometer and magnetometer) within each pers...
Thiago Teixeira, Deokwoo Jung, Andreas Savvides
PETRA
2009
ACM
13 years 12 months ago
Identifying people in camera networks using wearable accelerometers
We propose a system to identify people in a sensor network. The system fuses motion information measured from wearable accelerometer nodes with motion traces of each person detect...
Thiago Teixeira, Deokwoo Jung, Gershon Dublon, And...
IROS
2006
IEEE
177views Robotics» more  IROS 2006»
13 years 11 months ago
Adaptive Control of Heterogeneous Marine Sensor Platforms in an Autonomous Sensor Network
Abstract— This paper describes an investigation into the control of autonomous mobile sensor platforms in a marine sensor network used to provide monitoring of transitory phenome...
Donald P. Eickstedt, Michael R. Benjamin, Henrik S...