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» Long term tracking using Bayesian networks
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SENSYS
2003
ACM
15 years 9 months ago
Tracking a moving object with a binary sensor network
In this paper we examine the role of very simple and noisy sensors for the tracking problem. We propose a binary sensor model, where each sensor’s value is converted reliably to...
Javed A. Aslam, Zack J. Butler, Florin Constantin,...
VIS
2007
IEEE
188views Visualization» more  VIS 2007»
16 years 5 months ago
Fast Filament Tracking Using Graphics Hardware
Recent developments in biomedical imaging are producing massive data sets containing structures, such as fine filaments, that are difficult to visualize. In this paper, we describ...
David M. Mayerich, Zeki Melek, John Keyser
335
Voted
EMMCVPR
2011
Springer
14 years 3 months ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen
EUC
2007
Springer
15 years 10 months ago
On Using Probabilistic Forwarding to Improve HEC-Based Data Forwarding in Opportunistic Networks
In this paper, we propose the HEC-PF scheme, an enhancement of our previous H-EC scheme for effective data forwarding in opportunistic networks. The enhanced scheme modifies the a...
Ling-Jyh Chen, Cheng-Long Tseng, Cheng-Fu Chou
SASN
2003
ACM
15 years 9 months ago
SECTOR: secure tracking of node encounters in multi-hop wireless networks
In this paper we present SECTOR, a set of mechanisms for the secure verification of the time of encounters between nodes in multi-hop wireless networks. This information can be u...
Srdjan Capkun, Levente Buttyán, Jean-Pierre...