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» A Probabilistic Background Model for Tracking
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ICASSP
2011
IEEE
14 years 1 months ago
Full-covariance UBM and heavy-tailed PLDA in i-vector speaker verification
In this paper, we describe recent progress in i-vector based speaker verification. The use of universal background models (UBM) with full-covariance matrices is suggested and tho...
Pavel Matejka, Ondrej Glembek, Fabio Castaldo, M. ...
IPSN
2007
Springer
15 years 4 months ago
Tracking multiple targets using binary proximity sensors
Recent work has shown that, despite the minimal information provided by a binary proximity sensor, a network of such sensors can provide remarkably good target tracking performanc...
Jaspreet Singh, Upamanyu Madhow, Rajesh Kumar 0003...
FLAIRS
2008
15 years 4 days ago
Toward Markov Logic with Conditional Probabilities
Combining probability and first-order logic has been the subject of intensive research during the last ten years. The most well-known formalisms combining probability and some sub...
Jens Fisseler
ECCV
2006
Springer
15 years 1 months ago
Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matching
Abstract. A novel hybrid region-based and contour-based multiple object tracking model using optical flow based elastic matching is proposed. The proposed elastic matching model is...
Xingzhi Luo, Suchendra M. Bhandarkar
CVPR
2009
IEEE
16 years 5 months ago
Visual Tracking with Online Multiple Instance Learning
In this paper, we address the problem of learning an adaptive appearance model for object tracking. In particular, a class of tracking techniques called “tracking by detection...
Boris Babenko, Ming-Hsuan Yang, Serge J. Belongie