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» Topological map learning from outdoor image sequences
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CVPR
2007
IEEE
15 years 11 months ago
Fast Human Pose Estimation using Appearance and Motion via Multi-Dimensional Boosting Regression
We address the problem of estimating human pose in video sequences, where rough location has been determined. We exploit both appearance and motion information by defining suitabl...
Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soat...
EVOW
2008
Springer
14 years 11 months ago
Artificial Creatures for Object Tracking and Segmentation
We present a study on the use of soft computing techniques for object tracking/segmentation in surveillance video clips. A number of artificial creatures, conceptually, "inhab...
Luca Mussi, Stefano Cagnoni
FGR
2004
IEEE
230views Biometrics» more  FGR 2004»
15 years 1 months ago
Tracking Humans using Prior and Learned Representations of Shape and Appearance
Tracking a moving person is challenging because a person's appearance in images changes significantly due to articulation, viewpoint changes, and lighting variation across a ...
Jongwoo Lim, David J. Kriegman
ICPR
2006
IEEE
15 years 10 months ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini
TROB
2008
151views more  TROB 2008»
14 years 9 months ago
Inverse Depth Parametrization for Monocular SLAM
Recent work has shown that the probabilistic SLAM approach of explicit uncertainty propagation can succeed in permitting repeatable 3D real-time localization and mapping even in th...
Javier Civera, Andrew J. Davison, J. M. M. Montiel