title: A Novel Multiobject Tracking Approach in the Presence of Collision and Division.
abstract: 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.
authors.affiliation: School of Automation, Nanjing University of Science & Technology, Nanjing 210094, China ; School of Electrical & Automatic Engineering, Changshu Institute of Technology, Changshu 215500, China.
authors.forename: Mingli
authors.identifier: 0000-0002-8613-3984
authors.initials: M
authors.lastname: Lu
authors.affiliation: School of Electrical & Automatic Engineering, Changshu Institute of Technology, Changshu 215500, China.
authors.forename: Benlian
authors.identifier: 0000-0002-2301-9471
authors.initials: B
authors.lastname: Xu
authors.affiliation: School of Automation, Nanjing University of Science & Technology, Nanjing 210094, China.
authors.forename: Andong
authors.initials: A
authors.lastname: Sheng
authors.affiliation: Department of Biomedical Engineering, University of Houston, Houston, TX 77004, USA.
authors.forename: Zhengqiang
authors.initials: Z
authors.lastname: Jiang
authors.affiliation: Sansom Institute for Health Research, School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA 5001, Australia.
authors.forename: Liping
authors.identifier: 0000-0001-9355-1167
authors.initials: L
authors.lastname: Wang
authors.affiliation: School of Electrical & Automatic Engineering, Changshu Institute of Technology, Changshu 215500, China.
authors.forename: Peiyi
authors.initials: P
authors.lastname: Zhu
authors.affiliation: School of Electrical & Automatic Engineering, Changshu Institute of Technology, Changshu 215500, China.
authors.forename: Jian
authors.initials: J
authors.lastname: Shi
mesh_terms: D000465:Algorithms; D002465:Cell Movement; D002468:Cell Physiological Phenomena; D058948:Cell Tracking / Q000379:methods* / Q000706:statistics & numerical data; D019295:Computational Biology; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008954:Models, Biological; D010363:Pattern Recognition, Automated / Q000379:methods / Q000706:statistics & numerical data