http://iet.metastore.ingenta.com
1887

Tracking objects with co-occurrence matrix and particle filter in infrared video sequences

Tracking objects with co-occurrence matrix and particle filter in infrared video sequences

For access to this article, please select a purchase option:

Buy eFirst article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
— Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Tracking objects in infrared video sequences became a very important challenge for many current tracking algorithms due to several complex situations such as illumination variation, night vision, and occlusion. This study proposes a new tracker that uses a set of invariant parameters calculated via the co-occurrence moments to better describe the target object. The usage of the co-occurrence moments gives the ability to exploit the information about the texture of the target to enhance the robustness of the tracking task. This latter is performed without any learning or clustering phase. The qualitative and quantitative studies on challenging sequences demonstrate that the results obtained by the proposed algorithm are very competitive in comparison to several state-of-the-art methods.

http://iet.metastore.ingenta.com/content/journals/10.1049/iet-cvi.2017.0359
Loading

Related content

content/journals/10.1049/iet-cvi.2017.0359
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address