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» Unsupervised Learning of Models for Recognition
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ICIP
2008
IEEE
15 years 11 months ago
Learning action dictionaries from video
Summarizing the contents of a video containing human activities is an important problem in computer vision and has important applications in automated surveillance systems. Summar...
Pavan K. Turaga, Rama Chellappa
CVPR
2005
IEEE
16 years 2 days ago
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
This paper addresses the problem of learning and recognizing human activities of daily living (ADL), which is an important research issue in building a pervasive and smart environ...
Thi V. Duong, Hung Hai Bui, Dinh Q. Phung, Svetha ...
CVPR
2009
IEEE
1453views Computer Vision» more  CVPR 2009»
16 years 2 months ago
Learning Photometric Invariance From Diversified Color Model Ensembles
Color is a powerful visual cue for many computer vision applications such as image segmentation and object recognition. However, most of the existing color models depend on the i...
Jose M. Alvarez, Theo Gevers, Antonio M. Lopez
ICMI
2009
Springer
123views Biometrics» more  ICMI 2009»
15 years 4 months ago
Learning and predicting multimodal daily life patterns from cell phones
In this paper, we investigate the multimodal nature of cell phone data in terms of discovering recurrent and rich patterns in people’s lives. We present a method that can discov...
Katayoun Farrahi, Daniel Gatica-Perez
ECCV
2004
Springer
15 years 1 months ago
Geometric Structure of Degeneracy for Multi-body Motion Segmentation
Many techniques have been proposed for segmenting feature point trajectories tracked through a video sequence into independent motions. It has been found, however, that methods tha...
Yasuyuki Sugaya, Ken-ichi Kanatani