AUTOMATED TRACKING OF MULTIPLE C. ELEGANS WITH ARTICULATED MODELS

Author

Huang, Kuang-Man ; Cosman, Pamela ; Schafer, William R.

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA

fYear

2007

fDate

12-15 April 2007

Firstpage

1240

Lastpage

1243

Abstract

We present a method for tracking and distinguishing multiple C. elegans in a video sequence, including when they are in physical contact with one another. The worms are modeled with an articulated model composed of rectangular blocks, arranged in a deformable configuration represented by a spring-like connection between adjacent parts. Dynamic programming is applied to reduce the computational complexity of the matching process. Our method makes it possible to identify two worms correctly before and after they touch each other, and to find body poses for feature extraction.

Keywords

feature extraction; image matching; image sequences; medical image processing; physiological models; C. elegans; articulated model; automated tracking; feature extraction; object matching; video sequence; Animals; Biological system modeling; Capacitive sensors; Computer worms; Deformable models; Dynamic programming; Feature extraction; Image processing; Microscopy; Nervous system;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on

Conference_Location

Arlington, VA

Print_ISBN

1-4244-0672-2

Electronic_ISBN

1-4244-0672-2

Type

conf

DOI

10.1109/ISBI.2007.357083

Filename

4193517