Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/7608
Title: A note on feature extraction based on Kanade-Shi-Tomasi procedure and Kalman filters
Authors: Grbić, Tatjana 
Jovanović, Aleksandar
Medić, Slavica 
Perović, Aleksandar
Issue Date: 1-Jan-2014
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract: © Springer International Publishing Switzerland 2014. We present a short overview of the portion of our work in the analysis of biological, acoustic, sonar and radar signals, with particular emphasis on the feature extraction using modified Kanade-Shi-Tomasi procedure and the application of Kalman filters. Developed methodology is illustrated with several examples.
URI: https://open.uns.ac.rs/handle/123456789/7608
ISBN: 9783319115801
ISSN: 03029743
Appears in Collections:FTN Publikacije/Publications

Show full item record

SCOPUSTM   
Citations

2
checked on Feb 22, 2020

Page view(s)

25
Last Week
12
Last month
0
checked on May 10, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.