145 search results - page 27 / 29 » Background recovery from video sequences using motion parame... |
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
In this paper we present a novel approach using a 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and m...
CRV
2005
IEEE
15 years 3 months ago
2005
IEEE
This paper proposes a novel method for estimating depth from a long image sequence captured by a moving camera. Our idea for estimating a depth map is very simple; only counting i...
ECCV
2002
Springer
15 years 11 months ago
2002
Springer
This paper describes techniques for fusing the output of multiple cues to robustly and accurately segment foreground objects from the background in image sequences. Two different m...
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
We present a new approach to iteratively estimate both
high-quality depth map and alpha matte from a single image
or a video sequence. Scene depth, which is invariant
to illumin...
IVC
2007
14 years 9 months ago
2007
Deformable model tracking is a powerful methodology that allows us to track the evolution of high-dimensional parameter vectors from uncalibrated monocular video sequences. The co...