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» Learning to Track Objects Through Unobserved Regions
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SIAMIS
2010
395views more  SIAMIS 2010»
13 years 4 months ago
A Geometric Approach to Joint 2D Region-Based Segmentation and 3D Pose Estimation Using a 3D Shape Prior
Abstract. In this work, we present an approach to jointly segment a rigid object in a two-dimensional (2D) image and estimate its three-dimensional (3D) pose, using the knowledge o...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...
ICCV
2007
IEEE
14 years 7 months ago
Multi-Object Tracking Through Clutter Using Graph Cuts
The standard graph cut technique is a robust method for globally optimal image segmentations. However, because of its global nature, it is prone to capture outlying areas similar ...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
14 years 2 days ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
PAMI
1998
112views more  PAMI 1998»
13 years 5 months ago
Efficient Region Tracking With Parametric Models of Geometry and Illumination
—As an object moves through the field of view of a camera, the images of the object may change dramatically. This is not simply due to the translation of the object across the im...
Gregory D. Hager, Peter N. Belhumeur
CVPR
2006
IEEE
14 years 7 months ago
Spatial Divide and Conquer with Motion Cues for Tracking through Clutter
Tracking can be considered a two-class classification problem between the foreground object and its surrounding background. Feature selection to better discriminate object from ba...
Zhaozheng Yin, Robert T. Collins