Paper Info
Title
Human based surveillance video summarization
Abstract
In this work, a new human based video summarization system designed and implemented which receives video frames from surveillance cameras. For analyzing the human centric videos, optical flow used as motion descriptor and histogram of gradients used as feature extractor. During the video motion information of object has been made continuous by adding time information to histograms with gradient information. Template matching method is applied on the continuous gradient information to find beginnings of movement patterns and beginnings of repetition the movement patterns. Summarization is built up on the validation of these extracted patterns with a correlation based search-through subsystem.
Year
DOI
Venue
2013
10.1109/SIU.2013.6531248
Signal Processing and Communications Applications Conference
Keywords
Field
DocType
feature extraction,image matching,image motion analysis,image sequences,video surveillance,continuous gradient information,correlation based search-through subsystem,feature extractor,histogram-of-gradient information,human based surveillance video summarization system,human centric videos analysis,motion descriptor,optical flow,pattern extraction,surveillance cameras,template matching method,video frames,video motion information,histogram of gradients,optical flow,summarization,surveillance video,template matchin
Template matching,Computer vision,Automatic summarization,Block-matching algorithm,Pattern recognition,Computer science,Motion compensation,Histogram of oriented gradients,Video tracking,Artificial intelligence,Motion estimation,Optical flow
Conference
ISSN
ISBN
Citations 
2165-0608
978-1-4673-5561-2
0
PageRank 
References 
Authors
0.34
9
2
Name
Order
Citations
PageRank
M. Said Aydemir100.68
M. Elif Karsligil27313.69