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» Clustering Moving Objects via Medoid Clusterings
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MM
2003
ACM
241views Multimedia» more  MM 2003»
14 years 28 days ago
Invariance in motion analysis of videos
In this paper, we propose an approach that retrieves motion of objects from the videos based on the dynamic time warping of view invariant characteristics. The motion is represent...
Cen Rao, Mubarak Shah, Tanveer Fathima Syeda-Mahmo...
CPHYSICS
2006
182views more  CPHYSICS 2006»
13 years 7 months ago
MinFinder: Locating all the local minima of a function
A new stochastic clustering algorithm is introduced that aims to locate all the local minima of a multidimensional continuous and differentiable function inside a bounded domain. ...
Ioannis G. Tsoulos, Isaac E. Lagaris
PICS
2001
13 years 9 months ago
An Autosophy Image Content-Based Television System
A first television system based on the Autosophy information theory is now being tested. The new television marks a major theoretical break from conventional television based on t...
Klaus Holtz, Eric Holtz
ICARCV
2006
IEEE
420views Robotics» more  ICARCV 2006»
14 years 1 months ago
Recognizing People's Faces: from Human to Machine Vision
— As confirmed by recent neurophysiological studies, the use of dynamic information is extremely important for humans in visual perception of biological forms and motion. Apart ...
Massimo Tistarelli, Manuele Bicego, Enrico Grosso
SSD
2005
Springer
116views Database» more  SSD 2005»
14 years 1 months ago
PA-Tree: A Parametric Indexing Scheme for Spatio-temporal Trajectories
Abstract. Many new applications involving moving objects require the collection and querying of trajectory data, so efficient indexing methods are needed to support complex spatio...
Jinfeng Ni, Chinya V. Ravishankar