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» Segmentation of periodically moving objects
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CVPR
2006
IEEE
14 years 9 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
CCGRID
2007
IEEE
14 years 1 months ago
Study of Different Replica Placement and Maintenance Strategies in Data Grid
Data replication is an excellent technique to move and cache data close to users. By replication, data access performance can be improved dramatically. One of the challenges in da...
Rashedur M. Rahman, Ken Barker, Reda Alhajj
ISMAR
2003
IEEE
14 years 23 days ago
Real-Time Localisation and Mapping with Wearable Active Vision
We present a general method for real-time, visiononly single-camera simultaneous localisation and mapping (SLAM) — an algorithm which is applicable to the localisation of any ca...
Andrew J. Davison, Walterio W. Mayol-Cuevas, David...
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
14 years 9 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
CIVR
2005
Springer
169views Image Analysis» more  CIVR 2005»
14 years 1 months ago
An Invariant Representation for Matching Trajectories Across Uncalibrated Video Streams
Abstract. We introduce a view–point invariant representation of moving object trajectories that can be used in video database applications. It is assumed that trajectories lie on...
Walter Nunziati, Stan Sclaroff, Alberto Del Bimbo