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» Situation Recognition: Representation and Algorithms
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GBRPR
2007
Springer
14 years 21 days ago
Constellations and the Unsupervised Learning of Graphs
Abstract. In this paper, we propose a novel method for the unsupervised clustering of graphs in the context of the constellation approach to object recognition. Such method is an E...
Boyan Bonev, Francisco Escolano, Miguel Angel Loza...
MMS
2006
13 years 8 months ago
View-invariant motion trajectory-based activity classification and recognition
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
ICPR
2004
IEEE
14 years 10 months ago
Visual Learning and Recognition of a Probabilistic Spatio-Temporal Model of Cyclic Human Locomotion
We present a novel representation of cyclic human locomotion based on a set of spatio-temporal curves of tracked points on the surface of a person. We start by extracting a set of...
Miha Peternel, Ales Leonardis
ICDAR
2005
IEEE
14 years 2 months ago
Mode detection in on-line pen drawing and handwriting recognition
On-line pen input benefits greatly from mode detection when the user is in a free writing situation, where he is allowed to write, to draw, and to generate gestures. Mode detecti...
Don Willems, Stéphane Rossignol, Louis Vuur...
PAMI
2007
249views more  PAMI 2007»
13 years 8 months ago
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
— The traditional image representations are not suited to conventional classification methods, such as the linear discriminant analysis (LDA), because of the under sample problem...
Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Ma...