Curtin University / Vincent’s Hospital / The Garvan Institute of Medical Research / College of Engineering / Australian National University / /
IndustryTerm
lower processing time / low processing time / uorescence microscopy imaging / similar applications / biological applications / biological imaging / cell tracking applications / closed-form solution / reasonable processing time / timelapse cell microscopy imaging systems / probabilistic tracking algorithms / explicit track management / time-lapse cell microscopy imaging systems / proposed tracking algorithm / generic solution / /
Organization
Garvan Institute of Medical Research / St. Vincent’s Hospital / Department of Electrical and Computer Engineering / Department of Medicine / College of Engineering & Computer Sci / U.S. Securities and Exchange Commission / African Union / Curtin University / Australian National University / /
A multiple model probability hypothesis density tracker for time-lapse cell microscopy sequences Seyed Hamid Rezatofighi1,2 , Stephen Gould1 , Ba-Ngu Vo3 , Katarina Mele2 , William E. Hughes4,5 , and Richard Hartley1,6