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

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...

You might also read

Related Articles

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

Sort by
Same author

"Cold Steel": A Case Report of Endoscopic Trans-Clival Approach for Management of a Blowdart Injury.

ORL; journal for oto-rhino-laryngology and its related specialties·2026
Same author

Current Evidence and Future Directions in 2- Versus 4-Duct Ligation for Anterior Drooling.

Ear, nose, & throat journal·2026
Same author

Assessment and management of cervical spine fractures in the emergency department in the UK: a review.

Minerva surgery·2026
Same author

Critical Evaluation of Assessment and Decision-Making in Complex Limb Fracture Management: A Review of Current Practice and Emerging Trends.

Cureus·2025
Same author

Prosumer Web City: a novel energy market framework for enabling dynamic bidding and scalable integration of distributed energy participants.

Scientific reports·2025
Same author

Unstable Pelvic Ring Fractures: From Bleeding Control to Bone Repair Along the Trauma Pathway.

Chirurgia (Bucharest, Romania : 1990)·2025
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jun 28, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.4K

Towards Automatic License Plate Detection.

Zahid Mahmood1, Khurram Khan2, Uzair Khan1

  • 1Department of Electrical and Computer Engineering, Abbottabad Campus, COMSATS University Islamabad, Abbottabad 22060, Pakistan.

Sensors (Basel, Switzerland)
|February 15, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient automatic license plate detection (ALPD) method combining Faster R-CNN and image processing. The technique achieves high accuracy and speed for vehicle license plate recognition in intelligent transportation systems.

Keywords:
estimationlicense plate detectionobject trackingsegmentationvehicle detection

More Related Videos

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.5K
Author Spotlight: Innovative Techniques for ROS Detection and Implications for Platelet Research
06:35

Author Spotlight: Innovative Techniques for ROS Detection and Implications for Platelet Research

Published on: March 29, 2024

821

Related Experiment Videos

Last Updated: Jun 28, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.4K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.5K
Author Spotlight: Innovative Techniques for ROS Detection and Implications for Platelet Research
06:35

Author Spotlight: Innovative Techniques for ROS Detection and Implications for Platelet Research

Published on: March 29, 2024

821

Area of Science:

  • Computer Vision
  • Intelligent Transportation Systems (ITS)

Background:

  • Accurate vehicle license plate detection is crucial for Intelligent Transportation Systems (ITS).
  • Existing Automatic License Plate Detection (ALPD) systems require efficient and precise methods for reliable performance.

Purpose of the Study:

  • To develop an efficient and accurate license plate detection technique.
  • To improve the recognition rate of ALPD systems through an integrated approach.

Main Methods:

  • Utilized Faster R-CNN for initial vehicle detection in images.
  • Developed a License Plate Localization Module (LPLM) employing color segmentation in HSV space.
  • Applied morphological filtering and dimension analysis within the LPLM for precise license plate identification.

Main Results:

  • The proposed method demonstrated superior license plate detection accuracy compared to recent approaches.
  • Achieved significantly reduced execution time, indicating high efficiency.
  • Validated performance on challenging PKU datasets.

Conclusions:

  • The combined Faster R-CNN and digital image processing technique offers an efficient solution for ALPD.
  • The method shows high feasibility for applications in security and target detection.
  • This approach enhances the overall effectiveness of Intelligent Transportation Systems.