Paper Info
Title
Using quasi-continuous histograms for fuzzy main motion estimation in video sequence
Abstract
This paper presents a new fuzzy framework for main motion estimation in video sequences. The estimation is performed using a fuzzy representation of pixel gray levels. The motion is characterized by a set of parameters such as horizontal translation, rotation, etc. The method is based on a Hough-like vote procedure. In this scheme, the parametric space is discretized and each pixel votes for each bin of this discrete space. The votes are accumulated in a ''quasi-continuous histogram'' (QCH). The use of possibility theory and imprecise probabilities provides an accurate estimation of the histogram's mode related to the main motion. The advantages of quasi-continuous histograms in terms of accuracy and robustness are discussed in this paper. Very promising results were obtained using real and simulated video sequences. Comparative studies with classical methods are also presented.
Year
DOI
Venue
2007
10.1016/j.fss.2006.09.011
Fuzzy Sets and Systems
Keywords
Field
DocType
main apparent motion,main motion estimation,imprecision,fuzzy main motion estimation,possibility theory,pixel gray level,quasi-continuous histogram,discrete space,new fuzzy framework,pixel vote,fuzzy,image processing,main motion,quasi-continuous histograms,parametric space,fuzzy representation,accurate estimation,uncertainty,video sequence,comparative study,imprecise probability,motion estimation
Histogram,Quarter-pixel motion,Fuzzy logic,Algorithm,Possibility theory,Fuzzy set,Parametric statistics,Motion estimation,Fuzzy control system,Mathematics
Journal
Volume
Issue
ISSN
158
5
Fuzzy Sets and Systems
Citations 
PageRank 
References 
5
0.58
26
Authors
2
Name
Order
Citations
PageRank
Frederic Comby17311.55
O. Strauss215321.17