256 search results - page 7 / 52 » Adaptive object tracking by learning background context |
ICIP
2007
IEEE
14 years 10 months ago
2007
IEEE
One of the main challenges in image segmentation is to adapt prior knowledge about the objects/regions that are likely to be present in an image, in order to obtain more precise d...
MM
2003
ACM
14 years 1 months ago
2003
ACM
This paper proposes a novel method for detection and segmentation of foreground objects from a video which contains both stationary and moving background objects and undergoes bot...
ECCV
2008
Springer
14 years 10 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 ...
ICIP
2007
IEEE
14 years 2 months ago
2007
IEEE
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we prop...
ICIP
2008
IEEE
14 years 3 months ago
2008
IEEE
Background Subtraction is a widely used approach to detect moving objects from static cameras. Many different methods have been proposed over the recent years and can be classifi...