@inproceedings{ac7d702fc7fb4967a13429bd7219c5db,
title = "The delta generalized labeled multi-Bernoulli filter for cell tracking",
abstract = "Cell tracking automatically in time-lapse image sequences is important for understanding the dynamic pattern of micro-cell. In this paper, we present a novel method for tracking cell with shape feature based on the delta generalized labeled multi-Bernoulli (δ-GLMB) filter which is of great research significance. The δ-GLMB filter with cell shape parameters can improve the tracking accuracy. This approach is evaluated and compared with raw detection using the generalized optimal sub-pattern assignment (GOSPA) metric on real N2DH-SIM cell sequences. Experiment results show that the δ-GLMB filter can provide the shape information as well as the better estimation than raw detection and KTH method.",
keywords = "Cell tracking, Generalized labeled multi-Bernoulli filter, Random finite set(RFS), Shape information",
author = "Chunmei Shi and Junjie Wang and Lingling Zhao and Xiaohong Su and Guangshun Jiang",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 18th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2018 ; Conference date: 29-10-2018 Through 31-10-2018",
year = "2018",
month = dec,
day = "6",
doi = "10.1109/BIBE.2018.00048",
language = "英语",
series = "Proceedings - 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering, BIBE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "215--220",
booktitle = "Proceedings - 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering, BIBE 2018",
address = "美国",
}