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» Reducing Drift in Parametric Motion Tracking
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ICCV
2001
IEEE
14 years 6 months ago
Reducing Drift in Parametric Motion Tracking
Ali Rahimi, Louis-Philippe Morency, Trevor Darrell
ICASSP
2008
IEEE
13 years 10 months ago
Joint tracking and video registration by factorial Hidden Markov models
Tracking moving objects from image sequences obtained by a moving camera is a difficult problem since there exists apparent motion of the static background. It becomes more dif...
Xue Mei, Fatih Murat Porikli
CVPR
2006
IEEE
14 years 6 months ago
BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation
Motion estimation for applications where appearance undergoes complex changes is challenging due to lack of an appropriate similarity function. In this paper, we propose to learn ...
Shaohua Kevin Zhou, Bogdan Georgescu, Dorin Comani...
ICCV
2007
IEEE
14 years 6 months ago
The Best of Both Worlds: Combining 3D Deformable Models with Active Shape Models
Reliable 3D tracking is still a difficult task. Most parametrized 3D deformable models rely on the accurate extraction of image features for updating their parameters, and are pro...
Christian Vogler, Zhiguo Li, Atul Kanaujia, Siome ...
ICCV
2007
IEEE
13 years 6 months ago
Ten-fold Improvement in Visual Odometry Using Landmark Matching
Our goal is to create a visual odometry system for robots and wearable systems such that localization accuracies of centimeters can be obtained for hundreds of meters of distance ...
Zhiwei Zhu, Taragay Oskiper, Supun Samarasekera, R...