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» Long term tracking using Bayesian networks
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ICPR
2006
IEEE
14 years 6 months ago
Event Recognition with Fragmented Object Tracks
Complete and accurate video tracking is very difficult to achieve in practice due to long occlusions, traffic clutter, shadows and appearance changes. In this paper, we study the ...
Anthony Hoogs, Gianfranco Doretto, John Schmiedere...
ASC
2004
13 years 5 months ago
Clustering terms in the Bayesian network retrieval model: a new approach with two term-layers
The retrieval performance of an information retrieval system usually increases when it uses the relationships among the terms contained in a given document collection. However, th...
Luis M. de Campos, Juan M. Fernández-Luna, ...
ICC
2007
IEEE
104views Communications» more  ICC 2007»
14 years 3 days ago
Secure Tracking in Sensor Networks
Abstract— Target tracking is a canonical issue in sensor networks research. However, tracking security has gained little or no attention. Once a sensor node is compromised, it wi...
Chih-Chieh Geoff Chang, Wesley E. Snyder, Cliff Wa...
INFOCOM
2010
IEEE
13 years 3 months ago
Tracking Long Duration Flows in Network Traffic
We propose the tracking of long duration flows as a new network measurement primitive. Long-duration flows are characterized by their long lived nature in time, and may not have hi...
Aiyou Chen, Yu Jin, Jin Cao
CVPR
2006
IEEE
14 years 7 months ago
Multi-Target Tracking - Linking Identities using Bayesian Network Inference
Multi-target tracking requires locating the targets and labeling their identities. The latter is a challenge when many targets, with indistinct appearances, frequently occlude one...
Peter Nillius, Josephine Sullivan, Stefan Carlsson