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ECCV
2008
Springer
15 years 12 months ago
Locating Facial Features with an Extended Active Shape Model
We make some simple extensions to the Active Shape Model of Cootes et al. [4], and use it to locate features in frontal views of upright faces. We show on independent test data tha...
Stephen Milborrow, Fred Nicolls
SOCIALCOM
2010
14 years 7 months ago
Mining Human Location-Routines Using a Multi-Level Approach to Topic Modeling
In this work we address the problem of modeling varying time duration sequences for large-scale human routine discovery from cellphone sensor data using a multi-level approach to p...
Katayoun Farrahi, Daniel Gatica-Perez
NSF
2001
Springer
143views Computer Vision» more  NSF 2001»
15 years 2 months ago
Modeling Moving Objects for Location Based Services
As prices of basic enabling equipment like smart cell phones, hand holds, wireless modems, and GPS devices continue to drop rapidly, International Data Corp (IDC) predicts that the...
Ouri Wolfson, Sam Chamberlain, Konstantinos Kalpak...
ICRA
2010
IEEE
101views Robotics» more  ICRA 2010»
14 years 8 months ago
Searching for objects: Combining multiple cues to object locations using a maximum entropy model
— In this paper, we consider the problem of how background knowledge about usual object arrangements can be utilized by a mobile robot to more efficiently find an object in an ...
Dominik Joho, Wolfram Burgard
CVPR
2011
IEEE
14 years 6 months ago
Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
Ré, mi Emonet, Jagannadan Varadarajan, Jean-Marc ...