Improved particle filtering algorithm for maneuvering object tracking using deformation detection

In this paper, a new approach is proposed for tracking maneuvering target by improving the basic SIR algorithm. We proposed a dynamic model for maneuvering target. If changes of target model are larger than a predetermined threshold, then the target model will be updated. Practical results show that...

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Bibliographic Details
Main Authors: Parseh, M. J., Pashazadeh, S., Seyedarabi, H.
Format: Conference Proceeding
Language:English
Subjects:
Atmospheric modeling
Color
deformation detection
dynamic models
Equations
Histograms
maneuvering target tracking
Mathematical model
particle filtering
Target tracking
video tracking
Videos
Online Access:Request full text
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Summary:In this paper, a new approach is proposed for tracking maneuvering target by improving the basic SIR algorithm. We proposed a dynamic model for maneuvering target. If changes of target model are larger than a predetermined threshold, then the target model will be updated. Practical results show that our proposed approach considerably improves accurate tracking of a maneuvering object. We will compare our proposed approach with the basic SIR algorithm in tracking a single maneuvering aircraft. Results of our proposed algorithm are also illustrated in tracking different maneuvering targets on few real-world case study videos.
DOI:10.1109/ICCKE.2012.6395379