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CVIU
2006
162views more  CVIU 2006»
15 years 19 days ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino
117
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Detection of anomalous events from unlabeled sensor data in smart building environments
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
Padmini Jaikumar, Aca Gacic, Burton Andrews, Micha...
95
Voted
CVPR
2007
IEEE
16 years 2 months ago
On Constructing Facial Similarity Maps
Automatically determining facial similarity is a difficult and open question in computer vision. The problem is complicated both because it is unclear what facial features humans ...
Alex Holub, Yun-hsueh Liu, Pietro Perona
ICIP
2009
IEEE
16 years 1 months ago
Multilateral Filtering: A Novel Framework For Generic Similarity-based Image Denoising
We present a novel iterative nonlinear filtering framework, termed multilateral filtering, based on the idea of generic local similarity. A set of local features is computed for e...
AVSS
2007
IEEE
15 years 7 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen