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» Unsupervised detection of contours using a statistical model
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ECCV
2000
Springer
15 years 11 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
ISVC
2007
Springer
15 years 3 months ago
Real-Time 3D Face Tracking with Mutual Information and Active Contours
Abstract. We present a markerless real-time, model-based 3D face tracking methodology. The system combines two robust and complimentary optimization-based strategies, namely active...
Giorgio Panin, Alois Knoll
ICIP
2005
IEEE
15 years 3 months ago
Robust highlight extraction using multi-stream hidden Markov models for baseball video
This paper proposes a robust statistical framework to extract highlights from a baseball broadcast video. We applied multistream Hidden Markov Models (HMMs) to control the weights...
Nguyen Huu Bach, Koichi Shinoda, Sadaoki Furui
JVCIR
2010
180views more  JVCIR 2010»
14 years 8 months ago
Geometric attraction-driven flow for image segmentation and boundary detection
Noble forces in image segmentation based on active contours models are proposed for capturing objects in the image. Contemplating the common functionality of forces in previous ac...
Jooyoung Hahn, Chang-Ock Lee
IBPRIA
2007
Springer
15 years 3 months ago
HMM-Based Action Recognition Using Contour Histograms
This paper describes an experimental study about a robust contour feature (shape-context) for using in action recognition based on continuous hidden Markov models (HMM). We ran dif...
Maria Ángeles Mendoza, Nicolas Pérez...