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CVIU
2006
222views more  CVIU 2006»
13 years 7 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
CVPR
2007
IEEE
14 years 9 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
SIBGRAPI
2009
IEEE
14 years 2 months ago
Learning Discriminative Appearance-Based Models Using Partial Least Squares
Appearance information is essential for applications such as tracking and people recognition. One of the main problems of using appearance-based discriminative models is the ambig...
William Robson Schwartz, Larry S. Davis
PG
1999
IEEE
13 years 12 months ago
A Speech Driven Talking Head System Based on a Single Face Image
In this paper, a lifelike talking head system is proposed. The talking head, which is driven by speaker independent speech recognition, requires only one single face image to synt...
I-Chen Lin, Cheng-Sheng Hung, Tzong-Jer Yang, Ming...
EGITALY
2011
12 years 7 months ago
Gestural Interaction for Robot Motion Control
Recent advances in gesture recognition made the problem of controlling a humanoid robot in the most natural possible way an interesting challenge. Learning from Demonstration fie...
Giuseppe Broccia, Marco Livesu, Riccardo Scateni