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

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...

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Bibliographic Details
Main Authors: Issam Elafi, Mohamed Jedra, Noureddine Zahid
Format: Article
Language:English
Published: Wiley 2018-08-01
Series:IET Computer Vision
Subjects:
object tracking
co-occurrence matrix
particle filter
infrared video sequences
complex situations
illumination variation
Online Access:https://doi.org/10.1049/iet-cvi.2017.0359

Internet

https://doi.org/10.1049/iet-cvi.2017.0359

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