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CVPR
2004
IEEE
15 years 3 days ago
Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation
Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes that consist of static or quasi-static structures. When...
Anurag Mittal, Nikos Paragios
ICRA
2009
IEEE
157views Robotics» more  ICRA 2009»
14 years 4 months ago
Modeling and 3D local estimation for in-plane and out-of-plane motion guidance by 2D ultrasound-based visual servoing
Abstract— This paper presents a new model-free visual servoing that is able to servo a robotized 2D ultrasound probe that interacts with a soft tissue object. It makes direct use...
Rafik Mebarki, Alexandre Krupa, François Ch...
ICCV
2005
IEEE
15 years 9 hour ago
Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance
Although variational methods are among the most accurate techniques for estimating the optical flow, they have not yet entered the field of real-time vision. Main reason is the gr...
Andrés Bruhn, Joachim Weickert
CVPR
2005
IEEE
15 years 3 days ago
Discriminative Density Propagation for 3D Human Motion Estimation
Cristian Sminchisescu, Atul Kanaujia, Zhiguo Li, D...