Title :
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
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;
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
DOI :
10.1109/ISBI.2007.357083