Paper Info
Title
Classifier Comparison for Repeating Motion Based Video Classification.
Abstract
In this paper we introduce a repeating motion based video classification system. Videos from certain topical areas like sports, home improvement, or mechanical motion often show specific repeating movements. Main and side frequencies of these repetitions can be considered as motion features. We receive these features by the Fourier transform of spatio-temporal motion trajectories and use them during classification phase. Our experiments focus on various classifiers in order to find the most accurate classifier for motion frequency related features.
Year
DOI
Venue
2013
10.1007/978-3-642-41939-3_71
ADVANCES IN VISUAL COMPUTING, PT II
Field
DocType
Volume
Computer vision,Pattern recognition,Computer science,Support vector machine,Fourier transform,Artificial intelligence,Classifier (linguistics),Image moment,Quadratic classifier
Conference
8034
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Kahraman Ayyildiz101.01
Stefan Conrad2168105.91