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» Multiple Target Localization Using Compressive Sensing
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ECCV
2006
Springer
14 years 9 months ago
Tracking and Labelling of Interacting Multiple Targets
Abstract. Successful multi-target tracking requires solving two problems - localize the targets and label their identity. An isolated target's identity can be unambiguously pr...
Josephine Sullivan, Stefan Carlsson
DCOSS
2006
Springer
13 years 11 months ago
Optimal Placement and Selection of Camera Network Nodes for Target Localization
The paper studies the optimal placement of multiple cameras and the selection of the best subset of cameras for single target localization in the framework of sensor networks. The ...
Ali Ozer Ercan, Danny B. Yang, Abbas El Gamal, Leo...
CORR
2012
Springer
225views Education» more  CORR 2012»
12 years 3 months ago
Compressive Principal Component Pursuit
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
John Wright, Arvind Ganesh, Kerui Min, Yi Ma
GLOBECOM
2009
IEEE
13 years 10 months ago
Compressed Sensing Reception of Bursty UWB Impulse Radio is Robust to Narrow-Band Interference
—We have recently proposed a novel receiver for Ultra-Wide-band Impulse-Radio communication in bursty applications like Wireless Sensor Networks. The receiver, based on the princ...
Anand Oka, Lutz H.-J. Lampe
CDC
2009
IEEE
147views Control Systems» more  CDC 2009»
13 years 5 months ago
A Distributed Hybrid Filter for target tracking in sensor networks
In this paper, we propose the Distributed Hybrid Filter (DHF) to overcome the performance degradation in Sigma Point Filters caused by bad linearization. A quantifiable criterion t...
Feng Li, Jamie S. Evans