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» Pose estimation and tracking using multivariate regression
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CVPR
2012
IEEE
13 years 6 days ago
We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...
Cheng Chen, Jean-Marc Odobez
CVPR
2005
IEEE
15 years 3 months ago
Linear Combination Representation for Outlier Detection in Motion Tracking
In this paper we show that Ullman and Basri’s linear combination (LC) representation, which was originally proposed for alignment-based object recognition, can be used for outli...
Guodong Guo, Charles R. Dyer, Zhengyou Zhang

Publication
237views
13 years 11 months ago
Estimation of behavioral user state based on eye gaze and head pose—application in an e-learning environment
Most e-learning environments which utilize user feedback or profiles, collect such information based on questionnaires, resulting very often in incomplete answers, and sometimes de...
Stylianos Asteriadis, Paraskevi Tzouveli, Kostas K...
FASE
2007
Springer
15 years 3 months ago
EQ-Mine: Predicting Short-Term Defects for Software Evolution
We use 63 features extracted from sources such as versioning and issue tracking systems to predict defects in short time frames of two months. Our multivariate approach covers aspe...
Jacek Ratzinger, Martin Pinzger, Harald Gall
AMFG
2007
IEEE
264views Biometrics» more  AMFG 2007»
15 years 4 months ago
Person-Independent Monocular Tracking of Face and Facial Actions with Multilinear Models
In tracking face and facial actions of unknown people, it is essential to take into account two components of facial shape variations: shape variation between people and variation ...
Yusuke Sugano, Yoichi Sato