Automated Tracking of Multiple C. Elegans
- Creators
- Fontaine, Ebraheem
- Burdick, Joel
- Barr, Alan
Abstract
This paper presents a method for model based automated tracking of multiple worm-like creatures. These methods are essential for accurate quantitative analysis into the genetic basis of behavior that involve more than one organism. An accurate worm model is designed using the geometry of planar curves and nonlinear estimation of the model's parameters are performed using a central difference Kalman filter (CDKF). The filter can naturally be expanded to estimate the locations of multiple worms and determine when they are occluding each other. The predicted location of the models at each iteration allows for an efficient method to determine the regions that are undergoing occlusions. Experiments on actual C. Elegans mating sequence data demonstrate the quality of the proposed method.
Additional Information
© 2006 IEEE. Issue Date: Aug. 30 2006-Sept. 3 2006; Date of Current Version: 05 March 2008. T he authors are grateful to the Beckman Institute Foundation for support of this work. We also thank Dr. Allyson Whittaker for supplying the video sequences used in this analysis.Attached Files
Files
Name | Size | Download all |
---|---|---|
md5:8224898badbeff9632e1f8e1a0cd2137
|
751.2 kB | Preview Download |
Additional details
- Eprint ID
- 22126
- Resolver ID
- CaltechAUTHORS:20110211-083304473
- Caltech Beckman Institute
- Created
-
2011-02-11Created from EPrint's datestamp field
- Updated
-
2021-11-09Created from EPrint's last_modified field