WASET
	%0 Journal Article
	%A Hyun June Kim and  Tailong Shi and  Seden Akdagli and  Sam Most and  Yuling Yan
	%D 2015
	%J International Journal of Biotechnology and Bioengineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 101, 2015
	%T Semi-Automated Tracking of Vibrissal Movements in Free-Moving Rodents Captured by High-Speed Videos
	%U https://publications.waset.org/pdf/10001546
	%V 101
	%X Quantitative analyses of whisker movements provide a
means to study functional recovery and regeneration of mouse facial
nerve after an injury. However, accurate tracking of the mouse whisker
movement is challenging. Most methods for whisker tracking require
manual intervention, e.g. fixing the head of the mouse during a study.
Here we describe a semi-automated image processing method, which
is applied to high-speed video recordings of free-moving mice to track
the whisker movements. We first track the head movement of a mouse
by delineating the lower head contour frame-by-frame that allows for
detection of the location and orientation of the head. Then, a region of
interest is identified for each frame; the subsequent application of a
mask and the Hough transform detects the selected whiskers on each
side of the head. Our approach is used to examine the functional
recovery of damaged facial nerves in mice over a course of 21 days.
	%P 565 - 569