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ICIP
2007
IEEE
14 years 9 months ago
A HMM-Based Method for Recognizing Dynamic Video Contents from Trajectories
This paper describes an original method for classifying object motion trajectories in video sequences in order to recognize dynamic events. Similarities between trajectories are e...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
IJCV
2007
196views more  IJCV 2007»
13 years 7 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
AMFG
2003
IEEE
168views Biometrics» more  AMFG 2003»
13 years 11 months ago
Efficient Active Appearance Model for Real-Time Head and Facial Feature Tracking
This paper addresses the 3D tracking of pose and animation of the human face in monocular image sequences using Active Appearance Models. The classical appearancebased tracking su...
Fadi Dornaika, Jörgen Ahlberg
ICPR
2006
IEEE
14 years 8 months ago
Trains of keypoints for 3D object recognition
This paper presents a 3D object recognition method that exploits the spatio-temporal coherence of image sequences to capture the object most relevant features. We start from an im...
Elise Arnaud, Francesca Odone, Alessandro Verri
IVC
2008
129views more  IVC 2008»
13 years 7 months ago
3D Motion from structures of points, lines and planes
In this article we propose a method for estimating the camera motion from a video-sequence acquired in the presence of general 3D structures. Solutions to this problem are commonl...
Andrea Dell'Acqua, Augusto Sarti, Stefano Tubaro