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» Parameterized Modeling and Recognition of Activities
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CVPR
2007
IEEE
15 years 11 months ago
A Unified Probabilistic Framework for Facial Activity Modeling and Understanding
Facial activities are the most natural and powerful means of human communication. Spontaneous facial activity is characterized by rigid head movements, non-rigid facial muscular m...
Yan Tong, Wenhui Liao, Zheng Xue, Qiang Ji
WWW
2004
ACM
15 years 10 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
PERVASIVE
2006
Springer
14 years 9 months ago
Building Reliable Activity Models Using Hierarchical Shrinkage and Mined Ontology
Abstract. Activity inference based on object use has received considerable recent attention. Such inference requires statistical models that map activities to the objects used in p...
Emmanuel Munguia Tapia, Tanzeem Choudhury, Matthai...
CVPR
2007
IEEE
15 years 11 months ago
From Videos to Verbs: Mining Videos for Activities using a Cascade of Dynamical Systems
Clustering video sequences in order to infer and extract activities from a single video stream is an extremely important problem and has significant potential in video indexing, s...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
FGR
2006
IEEE
147views Biometrics» more  FGR 2006»
15 years 3 months ago
AAM Derived Face Representations for Robust Facial Action Recognition
In this paper, we present results on experiments employing Active Appearance Model (AAM) derived facial representations, for the task of facial action recognition. Experimental re...
Simon Lucey, Iain Matthews, Changbo Hu, Zara Ambad...