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» Robust evidence-based object tracking
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VR
2003
IEEE
164views Virtual Reality» more  VR 2003»
14 years 3 months ago
VIS-Tracker: A Wearable Vision-Inertial Self-Tracker
We present a demonstrated and commercially viable self-tracker, using robust software that fuses data from inertial and vision sensors. Compared to infrastructurebased trackers, s...
Eric Foxlin, Leonid Naimark
ECCV
2002
Springer
14 years 11 months ago
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
Christoph Schnörr, Daniel Cremers, Timo Kohlb...
MVA
2007
211views Computer Vision» more  MVA 2007»
13 years 11 months ago
Shadow Elimination in Traffic Video Segmentation
Shadow detection is critical for robust and reliable vision-based systems for traffic vision analysis. Shadow points are often misclassified as object points causing errors in loc...
Hong Liu, Jintao Li, Qun Liu, Yueliang Qian
IJRR
2010
202views more  IJRR 2010»
13 years 4 months ago
Real-time Quadrifocal Visual Odometry
Abstract-This paper describes a new image-based approach to tracking the 6 degrees of freedom trajectory of a stereo camera pair. The proposed technique estimates the pose and subs...
Andrew I. Comport, Ezio Malis, Patrick Rives
ICRA
2002
IEEE
104views Robotics» more  ICRA 2002»
14 years 2 months ago
Improbability Filtering for Rejecting False Positives
—In this paper we describe a novel approach, called improbability filtering, to rejecting false-positive observations from degrading the tracking performance of an Extended Kalma...
Brett Browning, Michael H. Bowling, Manuela M. Vel...