Trajectory evaluation and behavioral scoring using JAABA in a noisy system
H. Chen1; P. Marjoram1; B. Foley2; R. Ardekani2 1 Department of Preventive Medicine, Keck School of Medicine, USC, Los Angeles, CA, USA2 Molecular and Computational Biology, Department of Biological Sciences, USC, Los Angeles, CA, USA
Abstract
Typical methods for generating and analysing tracking data for animals such as Drosophila require idealized experimental conditions that are frequently difficult, expensive, or undesirable to replicate in the lab. In this chapter, we describe and implement methods for improving robustness in nonideal conditions. Our method involves an initial processing step in which tracks are constructed from noisy video data, ...
Get Emerging Trends in Image Processing, Computer Vision and Pattern Recognition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
