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» Robust Estimation of Camera Motion Using Optical Flow Models
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CVPR
2007
IEEE
14 years 10 months ago
Detection and segmentation of moving objects in highly dynamic scenes
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
Aurélie Bugeau, Patrick Pérez
IROS
2006
IEEE
137views Robotics» more  IROS 2006»
14 years 1 months ago
A Robust Docking Strategy for a Mobile Robot using Flow Field Divergence
— We present a robust strategy for docking a mobile robot in close proximity with an upright surface using optical flow field divergence. Unlike previous approaches, we achieve...
Chris McCarthy, Nick Barnes
ICPR
2002
IEEE
14 years 9 months ago
Video Structuring, Indexing and Retrieval Based on Global Motion Wavelet Coefficients
This paper describes an approach for video structuring and indexing. It relies on motion wavelet coefficients directly estimated from image sequence. These coefficients provide a ...
Eric Bruno, Denis Pellerin
ICCV
2009
IEEE
2205views Computer Vision» more  ICCV 2009»
15 years 25 days ago
Video stabilization using robust feature trajectories
This paper proposes a new approach for video stabilization. Most existing video stabilization methods adopt a framework of three steps, motion estimation, motion compensation an...
Ken-Yi Lee, Yung-Yu, Chuang Bing-Yu, Chen Ming Ouh...
SCVMA
2004
Springer
14 years 1 months ago
A Generative Model of Dense Optical Flow in Layers
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic