A Novel Multiobject Tracking Approach in the Presence of Collision and Division
Joint Authors
Wang, Liping
Lu, Mingli
Jiang, Zhengqiang
Zhu, Peiyi
Shi, Jian
Xu, Benlian
Sheng, Andong
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-17
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
This paper aims to develop a general framework for accurately tracking and quantitatively characterizing multiple cells (objects) when collision and division between cells arise.
Through introducing three types of interaction events among cells, namely, independence, collision, and division, the corresponding dynamic models are defined and an augmented interacting multiple model particle filter tracking algorithm is first proposed for spatially adjacent cells with varying size.
In addition, to reduce the ambiguity of correspondence between frames, both the estimated cell dynamic parameters and cell size are further utilized to identify cells of interest.
The experiments have been conducted on two real cell image sequences characterized with cells collision, division, or number variation, and the resulting dynamic parameters such as instant velocity, turn rate were obtained and analyzed.
American Psychological Association (APA)
Lu, Mingli& Xu, Benlian& Sheng, Andong& Jiang, Zhengqiang& Wang, Liping& Zhu, Peiyi…[et al.]. 2015. A Novel Multiobject Tracking Approach in the Presence of Collision and Division. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-18.
https://search.emarefa.net/detail/BIM-1057977
Modern Language Association (MLA)
Lu, Mingli…[et al.]. A Novel Multiobject Tracking Approach in the Presence of Collision and Division. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-18.
https://search.emarefa.net/detail/BIM-1057977
American Medical Association (AMA)
Lu, Mingli& Xu, Benlian& Sheng, Andong& Jiang, Zhengqiang& Wang, Liping& Zhu, Peiyi…[et al.]. A Novel Multiobject Tracking Approach in the Presence of Collision and Division. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-18.
https://search.emarefa.net/detail/BIM-1057977
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057977