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» A Generative Model Based Approach to Motion Segmentation
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IBPRIA
2005
Springer
14 years 1 months ago
From Moving Edges to Moving Regions
In this paper, we propose a new method to extract moving objects from a video stream without any motion estimation. The objective is to obtain a method robust to noise, large motio...
Loic Biancardini, Eva Dokladalova, Serge Beucher, ...
MM
1997
ACM
118views Multimedia» more  MM 1997»
14 years 7 hour ago
Motion and Feature-Based Video Metamorphosis
We present a new technique for morphing two video sequences. Our approach extends still image metamorphosis techniques to video by performing motion tracking on the objects. Besid...
Robert Szewczyk, Andras Ferencz, Henry Andrews, Br...
PAMI
2010
265views more  PAMI 2010»
13 years 6 months ago
Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories
—In this paper, we study the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this proble...
Shankar Rao, Roberto Tron, René Vidal, Yi M...
IROS
2009
IEEE
192views Robotics» more  IROS 2009»
14 years 2 months ago
Kinodynamic motion planning for mobile robots using splines
— This paper presents an approach to time-optimal kinodynamic motion planning for a mobile robot. A global path planner is used to generate collision-free straight-line paths fro...
Boris Lau, Christoph Sprunk, Wolfram Burgard
ECCV
2008
Springer
14 years 9 months ago
Multi-stage Contour Based Detection of Deformable Objects
We present an efficient multi stage approach to detection of deformable objects in real, cluttered images given a single or few hand drawn examples as models. The method handles de...
Saiprasad Ravishankar, Arpit Jain, Anurag Mittal