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» Object detection at multiple scales improves accuracy
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ECCV
2010
Springer
15 years 4 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...
CIKM
2008
Springer
15 years 1 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 7 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...
WACV
2005
IEEE
15 years 5 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
ECCV
2006
Springer
15 years 1 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