3 search results - page 1 / 1 » Multi-cue based multi-target tracking using online random fo... |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Discriminative tracking has become popular tracking methods due to their descriptive power for foreground/background separation. Among these methods, online random forest is recen...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...
ECCV
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...