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» An Algorithm for Multiple Object Trajectory Tracking
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CVPR
2004
IEEE
14 years 9 months ago
Motion Segmentation with Missing Data Using PowerFactorization and GPCA
We consider the problem of segmenting multiple rigid motions from point correspondences in multiple affine views. We cast this problem as a subspace clustering problem in which th...
René Vidal, Richard I. Hartley
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...
HRI
2006
ACM
14 years 1 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
CVPR
2007
IEEE
14 years 9 months ago
Multi-Object Tracking Using Color, Texture and Motion
In this paper, we introduce a novel real-time tracker based on color, texture and motion information. RGB color histogram and correlogram (autocorrelogram) are exploited as color ...
Matti Pietikäinen, Valtteri Takala
ICRA
2006
IEEE
121views Robotics» more  ICRA 2006»
14 years 1 months ago
Multi-model Tracking using Team Actuation Models
Abstract— Robots need to track object. Object tracking efficiency completely depends on the accuracy of the motion model and of the sensory information. Interestingly, when mult...
Yang Gu, Manuela M. Veloso