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» Action recognition by learning mid-level motion features
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AMDO
2006
Springer
13 years 9 months ago
Combined Head, Lips, Eyebrows, and Eyelids Tracking Using Adaptive Appearance Models
The ability to detect and track human heads and faces in video sequences is useful in a great number of applications, such as human-computer interaction and gesture recognition. Re...
Fadi Dornaika, Javier Orozco, Jordi Gonzàle...

Book
34534views
15 years 4 months ago
OpenCV - Open Source Computer Vision Reference Manual
OpenCV is a C/C++ computer vision library originally developed by Intel. It is free for commercial and research use under a BSD license. The library is cross-platform. It is highl...
Intel
CVPR
2003
IEEE
14 years 7 months ago
Kernel Principal Angles for Classification Machines with Applications to Image Sequence Interpretation
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...
Lior Wolf, Amnon Shashua
IVC
2006
187views more  IVC 2006»
13 years 5 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...
PAA
2006
13 years 5 months ago
Audio-visual sports highlights extraction using Coupled Hidden Markov Models
We present our studies on the application of Coupled Hidden Markov Models(CHMMs) to sports highlights extraction from broadcast video using both audio and video information. First,...
Ziyou Xiong