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145
Voted
ICOODB
2010
15 years 2 months ago
2010
Abstract. New emerging applications including genomic, multimedia, and geospatial technologies have necessitated the handling of complex application objects that are highly structu...
141
Voted
CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
In this paper, we present a probabilistic formulation of kernel-based tracking methods based upon maximum likelihood estimation. To this end, we view the coordinates for the pixel...
129
Voted
CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
We present an over-segmentation based, dense stereo algorithm that jointly estimates segmentation and depth. For mixed pixels on segment boundaries, the algorithm computes foregro...
156
Voted
ICCV
2007
IEEE
16 years 5 months ago
2007
IEEE
Object tracking is viewed as a two-class 'one-versusrest' classification problem, in which the sample distribution of the target is approximately Gaussian while the back...
131
Voted
ECCV
2008
Springer
16 years 5 months ago
2008
Springer
Abstract. Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple classifiers since only the current view of the ...