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ICIP
2006
IEEE
14 years 8 months ago
Using Non-Parametric Kernel to Segment and Smooth Images Simultaneously
Piecewise constant and piecewise smooth Mumford-Shah (MS) models have been widely studied and used for image segmentation. More complicated than piecewise constant MS, global Gaus...
Weihong Guo, Yunmei Chen
CVPR
2005
IEEE
14 years 8 months ago
A Statistical Field Model for Pedestrian Detection
This paper presents a new statistical model for detecting and tracking deformable objects such as pedestrians, where large shape variations induced by local shape deformation can ...
Ying Wu, Ting Yu, Gang Hua
ISVC
2009
Springer
14 years 1 months ago
A Novel Method for Enhanced Needle Localization Using Ultrasound-Guidance
Abstract. In this paper, we propose a novel and fast method to localize and track needles during image-guided interventions. Our proposed method is comprised of framework of needle...
Bin Dong, Eric Savitsky, Stanley Osher
ICCV
2003
IEEE
14 years 8 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
CVPR
2008
IEEE
14 years 8 months ago
Globally optimal shape-based tracking in real-time
Most algorithms for real-time tracking of deformable shapes provide sub-optimal solutions for a suitable energy minimization task: The search space is typically considered too lar...
Thomas Schoenemann, Daniel Cremers