Video Tracking

Video tracking is the automated or manual measurement of an object’s position and movement across sequential video frames, providing quantitative data from visual observations. In biological research, software identifies a subject or feature, such as an organism, cell, or labeled structure, and links its coordinates over time to calculate trajectories, speed, direction, and changes in behavior. Researchers use video tracking to study locomotion, animal behavior, cell migration, development, and responses to experimental conditions. By converting recorded motion into analyzable data, the method supports reproducible comparisons, reduces reliance on subjective scoring, and helps reveal dynamic biological processes that may be difficult to observe directly.

Video Tracking - Related Videos

Research

JoVE Journal - Biology

High-Resolution Video Tracking of Locomotion in Adult Drosophila Melanogaster

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Cited by 26 •

2009

The study of complex locomotor behavior in Drosophila melanogaster is dependent upon the ability to quantify changes in a given fly's movement. This article demonstrates how to do this using a high-resolution tracking system.

Video Tracking Protocol to Screen Deterrent Chemistries for Honey Bees

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Cited by 7 •

2017

The loss of honey bee colonies presents a challenge to crop pollination services. Current pollinator protection practices warrant an alternative approach to minimize the contact of honey bees to harmful pesticides using repellent chemistries. Here, we provide detailed methods for a visual tracking protocol to screen deterrents for bees.

Mouse Short- and Long-term Locomotor Activity Analyzed by Video Tracking Software

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Cited by 27 •

2013

Locomotor activity (LMA) is a simple and easily performed measurement of behavior in mice. Coupling of video tracking software (VTS) and LMA allows for the improvement of specificity and sensitivity, especially when compared with the manual, line crossing method of LMA analysis. Additionally VTS allows long-term tracking of mouse LMA.

Tracking Neutrophil Intraluminal Crawling, Transendothelial Migration and Chemotaxis in Tissue by Intravital Video Microscopy

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Cited by 21 •

2011

We describe a protocol of brightfield intravital microscopy for measuring dynamic neutrophil-endothelial cell interactions during neutrophil recruitment in response to the source of a neutrophil chemoattractant in vivo. Neutrophil intraluminal crawling, transendothelial migration and chemotaxis in mouse cremaster muscle tissue are visualized with time-lapsed video photography and tracked with ImageJ.

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

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Cited by 2 •

2019

The objective of the protocol is to detail how to collect video data for use in the laboratory; how to record eye-tracking data of participants looking at the data and how to efficiently analyze the content of the videos that they were looking at using a machine learning technique.

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