Superpixels Based Marker Tracking Vs. Hue Thresholding In Rodent Biomechanics Application

Examining locomotion has improved our basic understanding of motor control and aided in treating motor impairment. Mice and rats are premier models of human disease and increasingly the model systems of choice for basic neuroscience. High frame rates (250 Hz) are needed to quantify the kinematics of...

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Bibliographic Details
Published in:arXiv.org 2018-05
Main Authors: Omid Haji Maghsoudi, Tabrizi, Annie Vahedipour, Robertson, Benjamin, Spence, Andrew
Format: Article
Language:English
Subjects:
Biomechanics
Color
Kinematics
Locomotion
Markers
Motors
Rodents
Segmentation
Spatial data
Tracking
Online Access:Get full text
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Summary:Examining locomotion has improved our basic understanding of motor control and aided in treating motor impairment. Mice and rats are premier models of human disease and increasingly the model systems of choice for basic neuroscience. High frame rates (250 Hz) are needed to quantify the kinematics of these running rodents. Manual tracking, especially for multiple markers, becomes time-consuming and impossible for large sample sizes. Therefore, the need for automatic segmentation of these markers has grown in recent years. We propose two methods to segment and track these markers: first, using SLIC superpixels segmentation with a tracker based on position, speed, shape, and color information of the segmented region in the previous frame; second, using a thresholding on hue channel following up with the same tracker. The comparison showed that the SLIC superpixels method was superior because the segmentation was more reliable and based on both color and spatial information.
ISSN:2331-8422
DOI:10.48550/arxiv.1710.06473