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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 3 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
CVPR
2005
IEEE
15 years 1 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
PAMI
2010
161views more  PAMI 2010»
14 years 10 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
133
Voted
CVPR
2003
IEEE
16 years 1 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 6 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