177 search results - page 8 / 36 » Classifier Grids for Robust Adaptive Object Detection |
ECCV
2008
Springer
14 years 9 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 ...
ALT
2010
Springer
13 years 9 months ago
2010
Springer
: The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Such ability can assist domain experts to understand their d...
DAGSTUHL
2006
13 years 9 months ago
2006
A successful detection and classification system must have two properties: it should be general enough to compensate for intra-class variability and it should be specific enough to...
ICPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Shadow detection and removal is an important step employed after foreground detection, in order to improve the segmentation of objects for tracking. Methods reported in the litera...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
This paper proposes a unified approach for initializing, detecting and tracking of multiple moving objects. Object initialization is achieved through novel seed selection which is...