Multi-Thread, Increment-Bandwidth and Weighted Mean-Shift Algorithm for Neural Stem Cells Tracking

For studying their activities in time lapse image sequences, as some limitations of traditional mean-shift algorithm (MSA) applied in large population cells' tracking exist, an improved MSA with increment bandwidth and adjusted weight is presented for the neural stem cells tracking. Meanwhile,...

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Published in2008 Second International Symposium on Intelligent Information Technology Application : 20-22 December 2008 Vol. 1; pp. 576 - 579
Main Authors Chunming Tang, Hongliang Dang, Xiaohong Su
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2008
Subjects
Application software
Bandwidth
cells tracking
Computer science
Image sequences
increment bandwidth
Information technology
Kernel
Mean-Shift
Multithreading
multithreading technique
neural stem cells
Stem cells
Target tracking
Testing
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ISBN9780769534978
076953497X
DOI10.1109/IITA.2008.585

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Abstract For studying their activities in time lapse image sequences, as some limitations of traditional mean-shift algorithm (MSA) applied in large population cells' tracking exist, an improved MSA with increment bandwidth and adjusted weight is presented for the neural stem cells tracking. Meanwhile, as the limitation of serial computation of MSA, multithreading technique is applied to save tracking time. The presented algorithm has been tested in three image sequences. Tracking result from comparison between improved and traditional MSA shows that the former has increased the accuracy rate and saved time, especially in large populationpsilas cells tracking.
AbstractList For studying their activities in time lapse image sequences, as some limitations of traditional mean-shift algorithm (MSA) applied in large population cells' tracking exist, an improved MSA with increment bandwidth and adjusted weight is presented for the neural stem cells tracking. Meanwhile, as the limitation of serial computation of MSA, multithreading technique is applied to save tracking time. The presented algorithm has been tested in three image sequences. Tracking result from comparison between improved and traditional MSA shows that the former has increased the accuracy rate and saved time, especially in large populationpsilas cells tracking.
Author Hongliang Dang
Chunming Tang
Xiaohong Su
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  organization: Sch. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin
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  surname: Xiaohong Su
  fullname: Xiaohong Su
  organization: Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin
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PublicationTitle 2008 Second International Symposium on Intelligent Information Technology Application : 20-22 December 2008
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Snippet For studying their activities in time lapse image sequences, as some limitations of traditional mean-shift algorithm (MSA) applied in large population cells'...
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StartPage 576
SubjectTerms Application software
Bandwidth
cells tracking
Computer science
Image sequences
increment bandwidth
Information technology
Kernel
Mean-Shift
Multithreading
multithreading technique
neural stem cells
Stem cells
Target tracking
Testing
Title Multi-Thread, Increment-Bandwidth and Weighted Mean-Shift Algorithm for Neural Stem Cells Tracking
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