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WACV
2005
IEEE
14 years 2 months ago
Periodic Motion Detection and Estimation via Space-Time Sampling
A novel technique to detect and localize periodic movements in video is presented. The distinctive feature of the technique is that it requires neither feature tracking nor object...
Ashwin Thangali, Stan Sclaroff
CORR
2010
Springer
155views Education» more  CORR 2010»
13 years 9 months ago
Repairing People Trajectories Based on Point Clustering
This paper presents a method for improving any object tracking algorithm based on machine learning. During the training phase, important trajectory features are extracted which are...
Duc Phu Chau, François Brémond, Etie...
MM
2006
ACM
178views Multimedia» more  MM 2006»
14 years 3 months ago
Multimedia signal processing for behavioral quantification in neuroscience
While there have been great advances in quantification of the genotype of organisms, including full genomes for many species, the quantification of phenotype is at a comparatively...
Peter Andrews, Haibin Wang, Dan Valente, Jih&egrav...
IJON
2010
139views more  IJON 2010»
13 years 7 months ago
Event monitoring via local motion abnormality detection in non-linear subspace
We present a computational approach to abnormal visual event detection, which is based on exploring and modeling local motion patterns in a non-linear subspace. We use motion vect...
Ioannis Tziakos, Andrea Cavallaro, Li-Qun Xu
CVIU
2011
13 years 4 months ago
Action recognition with appearance-motion features and fast search trees
In this paper we propose an approach for action recognition based on a vocabulary of local motion-appearance features and fast approximate search in a large number of trees. Large...
Krystian Mikolajczyk, Hirofumi Uemura