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» Using Optical Flow for Tracking
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ICIP
2009
IEEE
13 years 6 months ago
Estimating traffic intensity using profile images on rectified images
In this paper a technique is presented to estimate the traffic intensity for each lane. This method does not require background estimation or even the identification and tracking ...
Cristina Maduro, Katherine Batista, Jorge Batista
IROS
2009
IEEE
266views Robotics» more  IROS 2009»
14 years 3 months ago
Inertial-aided KLT feature tracking for a moving camera
— We propose a novel inertial-aided KLT feature tracking method robust to camera ego-motions. The conventional KLT uses images only and its working condition is inherently limite...
Myung Hwangbo, Jun-Sik Kim, Takeo Kanade
CVPR
2007
IEEE
14 years 10 months ago
Marker-less Deformable Mesh Tracking for Human Shape and Motion Capture
We present a novel algorithm to jointly capture the motion and the dynamic shape of humans from multiple video streams without using optical markers. Instead of relying on kinemat...
Edilson de Aguiar, Christian Theobalt, Carsten Sto...
ICCV
2005
IEEE
14 years 10 months ago
A Stochastic Filter for Fluid Motion Tracking
In this paper we present a method for the tracking of fluid flows velocity fields. The technique we propose is formalized within sequential Bayesian filter framework. The filter w...
Anne Cuzol, Étienne Mémin
MBEC
2010
157views Communications» more  MBEC 2010»
13 years 3 months ago
Ambulatory human motion tracking by fusion of inertial and magnetic sensing with adaptive actuation
Over the last years, inertial sensing has proven to be a suitable ambulatory alternative to traditional human motion tracking based on optical position measurement systems, which a...
H. Martin Schepers, Daniel Roetenberg, Peter H. Ve...