Application of design of image tracking by combining SURF and TLD and SVM-based posture recognition system in robbery pre-alert system

Application of design of image tracking by combining SURF and TLD and SVM-based posture... This paper describes the design of an image tracking system that combines Speeded Up Robust Features (SURF) and Tracking-Learning-Detection (TLD), with a posture recognition system that is based on the Support Vector Machine (SVM), and includes image tracking, foreground detection and posture recognition. Image tracking, which combines the SURF and the TLD algorithms, starts by detecting the postures of a specific person with SURF, before tracking the object using TLD. Foreground detection uses the Codebook background subtraction algorithm to acquire foreground images and mends them by post-processing. Lastly, posture recognition applies SVM to determine human body postures. This article embodies such a system by applying it in a robbery pre-alert system. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

Application of design of image tracking by combining SURF and TLD and SVM-based posture recognition system in robbery pre-alert system

Loading next page...
 
/lp/springer_journal/application-of-design-of-image-tracking-by-combining-surf-and-tld-and-OXe2oTazte
Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media New York
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-017-4449-8
Publisher site
See Article on Publisher Site

Abstract

This paper describes the design of an image tracking system that combines Speeded Up Robust Features (SURF) and Tracking-Learning-Detection (TLD), with a posture recognition system that is based on the Support Vector Machine (SVM), and includes image tracking, foreground detection and posture recognition. Image tracking, which combines the SURF and the TLD algorithms, starts by detecting the postures of a specific person with SURF, before tracking the object using TLD. Foreground detection uses the Codebook background subtraction algorithm to acquire foreground images and mends them by post-processing. Lastly, posture recognition applies SVM to determine human body postures. This article embodies such a system by applying it in a robbery pre-alert system.

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: Mar 3, 2017

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off