Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

149
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
149
Centroid of a Body: Problem Solving01:03

Centroid of a Body: Problem Solving

1.2K
The centroid of a body is a crucial concept in engineering and physics. Finding the centroid of a body can help determine its stability, its balance point, and even its design. In this context, consider a thin wire bent in the form of a quarter circular arc. Polar coordinates are used to calculate the centroid. The wire is first divided into small differential elements of a length equal to the radius multiplied by the differential angle.
The x-coordinates and y-coordinates of each element's...
1.2K
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

90
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
90

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

An Analytical Study on the Utility of RGB and Multispectral Imagery with Band Selection for Automated Tumor Grading.

Diagnostics (Basel, Switzerland)·2024
Same author

GAN-Based Approach for Diabetic Retinopathy Retinal Vasculature Segmentation.

Bioengineering (Basel, Switzerland)·2024
Same author

A New Framework for Smart Doors Using mmWave Radar and Camera-Based Face Detection and Recognition Techniques.

Sensors (Basel, Switzerland)·2024
Same author

Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions.

Diagnostics (Basel, Switzerland)·2023
Same author

A Deep Learning Framework for the Detection of Abnormality in Cerebral Blood Flow Velocity Using Transcranial Doppler Ultrasound.

Diagnostics (Basel, Switzerland)·2023
Same author

A Survey on Deep-Learning-Based Diabetic Retinopathy Classification.

Diagnostics (Basel, Switzerland)·2023

Related Experiment Video

Updated: Aug 2, 2025

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

6.9K

Vehicle Instance Segmentation Polygonal Dataset for a Private Surveillance System.

Najmath Ottakath1, Somaya Al-Maadeed1

  • 1Department of Computer Science and Engineering, Qatar University, Doha P.O. Box 2713, Qatar.

Sensors (Basel, Switzerland)
|April 13, 2023
PubMed
Summary

This study introduces a privacy-preserving vehicle identification system using instance segmentation and vehicle make classification. The method achieves high accuracy in both segmentation and classification for traffic surveillance.

Keywords:
classificationinstance segmentationmosaic-tiled augmentationvehicle make classification

More Related Videos

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

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

Published on: May 7, 2019

9.0K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K

Related Experiment Videos

Last Updated: Aug 2, 2025

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

6.9K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

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

Published on: May 7, 2019

9.0K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K

Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Traffic Surveillance

Background:

  • Vehicle identification is crucial for traffic monitoring but raises privacy concerns.
  • Automated surveillance requires tasks like vehicle segmentation, classification, and license plate detection.
  • Instance segmentation can create unique vehicle representations while preserving privacy.

Purpose of the Study:

  • To develop a privacy-preserving automated vehicle identification system.
  • To apply instance segmentation for vehicle frontal region extraction.
  • To identify vehicle make and license plates from segmented regions.

Main Methods:

  • Utilized Mask R-CNN for instance segmentation and vehicle make classification.
  • Annotated a dataset with polygonal bounding boxes for frontal regions and license plates.
  • Employed data augmentation techniques, including mosaic-tiling, for dataset generalization.

Main Results:

  • Achieved 99.2% classification accuracy for vehicle make.
  • Obtained a 99.67% mean Average Precision (mAP) for segmentation.
  • Mosaic-tiling data augmentation improved dataset accuracy and generalization.

Conclusions:

  • The proposed method enables privacy-preserving vehicle identification and re-identification.
  • Instance segmentation effectively extracts relevant vehicle features while maintaining privacy.
  • Data augmentation significantly enhances model performance and generalization capabilities.