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» A Probabilistic Background Model for Tracking
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ICCV
2001
IEEE
16 years 5 months ago
Human Tracking with Mixtures of Trees
Tree-structured probabilistic models admit simple, fast inference. However, they are not well suited to phenomena such as occlusion, where multiple components of an object may dis...
Sergey Ioffe, David A. Forsyth
158
Voted
EMMCVPR
2007
Springer
15 years 10 months ago
Compositional Object Recognition, Segmentation, and Tracking in Video
Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...
Björn Ommer, Joachim M. Buhmann
144
Voted
ICDT
1999
ACM
154views Database» more  ICDT 1999»
15 years 8 months ago
Databases for Tracking Mobile Units in Real Time
Abstract. In this paper we consider databases representing information about moving objects (e.g. vehicles), particularly their location. We address the problems of updating and qu...
Ouri Wolfson, Liqin Jiang, A. Prasad Sistla, Sam C...
148
Voted
NOSSDAV
2009
Springer
15 years 10 months ago
Probabilistic event resolution with the pairwise random protocol
Peer-to-peer distributed virtual environments (DVE's) distribute state tracking and state transitions. Many DVE's - such as online games - require ways to fairly determi...
John L. Miller, Jon Crowcroft
130
Voted
ICIP
2005
IEEE
16 years 5 months ago
Novel likelihood estimation technique based on boosting detector
This paper presents novel likelihood estimation to be used for particle filter based object tracking. The likelihood estimation is built upon cascade object detector trained with ...
Haijing Wang, Peihua Li, Tianwen Zhang