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» Tracking features on a moving object using local image bases
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CVPR
2000
IEEE
16 years 7 months ago
Real-Time Tracking of Non-Rigid Objects Using Mean Shift
A new method for real-time tracking of non-rigid objects seen from a moving camera is proposed. The central computational module is based on the mean shift iterations and nds the ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
CVPR
2004
IEEE
15 years 9 months ago
Scale-Invariant Shape Features for Recognition of Object Categories
We introduce a new class of distinguished regions based on detecting the most salient convex local arrangements of contours in the image. The regions are used in a similar way to ...
Frédéric Jurie, Cordelia Schmid
ICMCS
1999
IEEE
234views Multimedia» more  ICMCS 1999»
15 years 10 months ago
Spatiotemporal Segmentation and Tracking of Objects for Visualization of Videoconference Image Sequences
Abstract--In this paper, a procedure is described for the segmentation, content-based coding, and visualization of videoconference image sequences. First, image sequence analysis i...
Ioannis Kompatsiaris, Michael G. Strintzis
CCIA
2010
Springer
15 years 22 days ago
Real-Time Object Segmentation Using a Bag of Features Approach
In this paper, we propose an object segmentation framework, based on the popular bag of features (BoF), which can process several images per second while achieving a good segmentat...
David Aldavert, Arnau Ramisa, Ramon López d...
CRV
2011
IEEE
305views Robotics» more  CRV 2011»
14 years 5 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers