DocumentCode :
678674
Title :
Stable Marriage Algorithm for Tracking Intracellular Objects
Author :
Hamano, Ayumi ; FUJISAKI, Keisuke ; Uchida, Seiichi ; Shiku, Osamu
Author_Institution :
Grad. Sch. of Syst. Life Sci., Kyushu Univ., Fukuoka, Japan
fYear :
2013
fDate :
4-6 Dec. 2013
Firstpage :
305
Lastpage :
307
Abstract :
Development of automatic multiple intracellular-objects tracking methods is one of the significant challenges in Bioimage-Informatics. The challenge becomes more difficult in case the tracking targets have the same shape and appearance. In order to obtain stable results under that condition, we propose a tracking method based on global optimization. Particularly, we first detect tracking targets by our proposed detection method. Then, we formulate the multiple object tracking problem as a combinatorial optimization problem over a pair of consecutive frames. Finally, we solve the problem by the stable marriage algorithm. In this paper, we describe our proposed detection and tracking methods.
Keywords :
bioinformatics; cellular biophysics; combinatorial mathematics; object detection; object tracking; optimisation; target tracking; automatic multiple intracellular-objects tracking methods; bioimage-Informatics; combinatorial optimization problem; global optimization; intracellular objects tracking; multiple object tracking problem; stable marriage algorithm; targets tracking detection; Accuracy; Educational institutions; Image sequences; Optimization; Shape; Target tracking; Bioimage informatics; Multiple object tracking; Object detection; Stable marriage problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing and Networking (CANDAR), 2013 First International Symposium on
Conference_Location :
Matsuyama
Print_ISBN :
978-1-4799-2795-1
Type :
conf
DOI :
10.1109/CANDAR.2013.53
Filename :
6726915
Link To Document :
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