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» Learning and Recognizing Human Dynamics in Video Sequences
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FGR
2004
IEEE
126views Biometrics» more  FGR 2004»
15 years 1 months ago
Trainable Videorealistic Speech Animation
We describe how to create with machine learning techniques a generative, videorealistic, speech animation module. A human subject is first recorded using a videocamera as he/she u...
Tony Ezzat, Gadi Geiger, Tomaso Poggio
97
Voted
CVPR
2005
IEEE
14 years 11 months ago
Monocular 3-D Tracking of the Golf Swing
We propose an approach to incorporating dynamic models into the human body tracking process that yields full 3– D reconstructions from monocular sequences. We formulate the trac...
Raquel Urtasun, David J. Fleet, Pascal Fua
97
Voted
PAMI
2010
161views more  PAMI 2010»
14 years 8 months ago
Nonstationary Shape Activities: Dynamic Models for Landmark Shape Change and Applications
—The goal of this work is to develop statistical models for the shape change of a configuration of “landmark” points (key points of interest) over time and to use these mode...
Samarjit Das, Namrata Vaswani
114
Voted
CVPR
2003
IEEE
15 years 11 months ago
Activity Recognition Using the Dynamics of the Configuration of Interacting Objects
Monitoring activities using video data is an important surveillance problem. A special scenario is to learn the pattern of normal activities and detect abnormal events from a very...
Namrata Vaswani, Amit K. Roy Chowdhury, Rama Chell...
ACISP
2008
Springer
15 years 4 months ago
Enforcing User-Aware Browser-Based Mutual Authentication with Strong Locked Same Origin Policy
The standard solution for mutual authentication between human users and servers on the Internet is to execute a TLS handshake during which the server authenticates using a X.509 ce...
Sebastian Gajek, Mark Manulis, Jörg Schwenk