DeepAI AI Chat
Log In Sign Up

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

10/17/2017
by   Omid Haji Maghsoudi, et al.
Temple University
0

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.

READ FULL TEXT
11/23/2017

3D Based Landmark Tracker Using Superpixels Based Segmentation for Neuroscience and Biomechanics Studies

Examining locomotion has improved our basic understanding of motor contr...
04/07/2018

Application of Superpixels to Segment Several Landmarks in Running Rodents

Examining locomotion has improved our basic understanding of motor contr...
01/27/2018

Feature Based Framework to Detect Diseases, Tumor, and Bleeding in Wireless Capsule Endoscopy

Studying animal locomotion improves our understanding of motor control a...
05/30/2015

A Three-stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT)

In this paper, we propose a SLaT (Smoothing, Lifting and Thresholding) m...
06/27/2021

SDOF-Tracker: Fast and Accurate Multiple Human Tracking by Skipped-Detection and Optical-Flow

Multiple human tracking is a fundamental problem for scene understanding...
04/01/2021

Fusing RGBD Tracking and Segmentation Tree Sampling for Multi-Hypothesis Volumetric Segmentation

Despite rapid progress in scene segmentation in recent years, 3D segment...
03/25/2019

Locomotion and gesture tracking in mice and small animals for neurosceince applications: A survey

Neuroscience has traditionally relied on manually observing lab animals ...