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» Object detection at multiple scales improves accuracy
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132
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ECCV
2010
Springer
15 years 8 months ago
Cascaded Confidence Filtering for Improved Tracking-by-Detection
We propose a novel approach to increase the robustness of object detection algorithms in surveillance scenarios. The cascaded confidence filter successively incorporates constraint...
125
Voted
CIKM
2008
Springer
15 years 5 months ago
Scaling up duplicate detection in graph data
Duplicate detection determines different representations of realworld objects in a database. Recent research has considered the use of relationships among object representations t...
Melanie Herschel, Felix Naumann
CVPR
2009
IEEE
16 years 10 months ago
Constrained Marginal Space Learning for Efficient 3D Anatomical Structure Detection in Medical Images
Recently, we proposed marginal space learning (MSL) as a generic approach for automatic detection of 3D anatom- ical structures in many medical imaging modalities. To accurately...
Yefeng Zheng, Bogdan Georgescu, Haibin Ling, Shaoh...
145
Voted
WACV
2005
IEEE
15 years 9 months ago
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
Jinman Kang, Isaac Cohen, Gérard G. Medioni
159
Voted
ECCV
2006
Springer
15 years 5 months ago
Robust Head Tracking with Particles Based on Multiple Cues Fusion
This paper presents a fully automatic and highly robust head tracking algorithm based on the latest advances in real-time multi-view face detection techniques and multiple cues fus...
Yuan Li, Haizhou Ai, Chang Huang, Shihong Lao