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» Statistical Models of Appearance for Computer Vision
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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
WS
2005
ACM
15 years 9 months ago
Modeling epidemic spreading in mobile environments
The growing popularity of mobile networks makes them increasingly attractive to virus writers, and malicious code targeting mobile devices has already begun to appear. Unfortunate...
James W. Mickens, Brian D. Noble
CVPR
2001
IEEE
16 years 5 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
98
Voted
ICCV
2007
IEEE
16 years 5 months ago
Phase Based Modelling of Dynamic Textures
This paper presents a model of spatiotemporal variations in a dynamic texture (DT) sequence. Most recent work on DT modelling represents images in a DT sequence as the responses o...
Bernard Ghanem, Narendra Ahuja
ECCV
2010
Springer
15 years 8 months ago
Cascaded Models for Articulated Pose Estimation
Abstract. We address the problem of articulated human pose estimation by learning a coarse-to-fine cascade of pictorial structure models. While the fine-level state-space of pose...