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» Learning 3D Appearance Models from Video
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ACCV
2009
Springer
14 years 3 months ago
Crowd Flow Characterization with Optimal Control Theory
Abstract. Analyzing the crowd dynamics from video sequences is an open challenge in computer vision. Under a high crowd density assumption, we characterize the dynamics of the crow...
Pierre Allain, Nicolas Courty, Thomas Corpetti
ISCI
2007
84views more  ISCI 2007»
13 years 8 months ago
Simulating continuous fuzzy systems
: In our book to appear in print from Springer-Verlag GmbH, Simulating Continuous Fuzzy Systems, Buckley and Jowers, we use crisp continuous simulation under Matlab™/Simulink™ ...
Leonard J. Jowers, James J. Buckley, Kevin D. Reil...
CICLING
2006
Springer
14 years 19 days ago
Predicting Dialogue Acts from Prosodic Information
In this paper, the influence of intonation to recognize dialogue acts from speech is assessed. Assessment is based on an empirical approach: manually tagged data from a spoken-dial...
Sergio Rafael Coria Olguin, Luis Alberto Pineda Co...
ICCV
2003
IEEE
14 years 10 months ago
Automatically Labeling Video Data Using Multi-class Active Learning
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
Rong Yan, Jie Yang, Alexander G. Hauptmann
TOG
2008
235views more  TOG 2008»
13 years 8 months ago
Articulated mesh animation from multi-view silhouettes
Details in mesh animations are difficult to generate but they have great impact on visual quality. In this work, we demonstrate a practical software system for capturing such deta...
Daniel Vlasic, Ilya Baran, Wojciech Matusik, Jovan...