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CVPR
2007
IEEE
16 years 6 months ago
Towards Robust Pedestrian Detection in Crowded Image Sequences
Object class detection in scenes of realistic complexity remains a challenging task in computer vision. Most recent approaches focus on a single and general model for object class...
Edgar Seemann, Mario Fritz, Bernt Schiele
CVPR
2007
IEEE
16 years 6 months ago
On-line Simultaneous Learning and Tracking of Visual Feature Graphs
Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
Arnaud Declercq, Justus H. Piater
VISAPP
2007
15 years 5 months ago
Modeling non-gaussian noise for robust image analysis
Accurate noise models are important to perform reliable robust image analysis. Indeed, many vision problems can be seen as parameter estimation problems. In this paper, two noise m...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...
ACCV
2009
Springer
15 years 10 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
ICPR
2008
IEEE
15 years 10 months ago
On edge structure based adaptive observation model for facial feature tracking
Facial feature tracking is a crucial and challenging task in computer vision. Recently online-learning methods have become increasingly popular on account of their strong ability ...
Xiaoyan Wang, Yangsheng Wang, Xuetao Feng, Mingcai...