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

Classification of Systems-II01:31

Classification of Systems-II

146
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
146
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
106
Reducing Line Loss01:18

Reducing Line Loss

154
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
154
Associative Learning01:27

Associative Learning

375
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
375
Classification of Systems-I01:26

Classification of Systems-I

188
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
188
Distance Corrections01:15

Distance Corrections

28
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
28

You might also read

Related Articles

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

Sort by
Same author

Piperine reverses colistin resistance in multidrug resistant Gram-negative pathogens by membrane disruption and ROS damage.

Virulence·2026
Same author

A Novel Machine Learning Signature Incorporating Lipid and Inflammatory Biomarkers to Predict Pulsed Radiofrequency Efficacy in Zoster-Associated Pain.

Pain and therapy·2026
Same author

Case report: complete pathologic response to neoadjuvant ensartinib in locally advanced, ALK-positive lung squamous cell carcinoma.

Frontiers in oncology·2026
Same author

Synergistic antenna-modulator integration for a monolithic photonic RF receiver.

Nature communications·2026
Same author

Longitudinal cross-species transmission of microbiomes and resistomes across farmers, animals and environment.

medRxiv : the preprint server for health sciences·2026
Same author

Chlorfenapyr adversely influences the survival rate and pest control capability of ichneumonid Campoletis chlorideae.

Pesticide biochemistry and physiology·2026

Related Experiment Video

Updated: Jul 5, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K

Vehicle re-identification method based on multi-attribute dense linking network combined with distance control

Xiaoming Sun1, Yan Chen1, Yan Duan1

  • 1Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application, Harbin University of Science and Technology, Harbin, China.

Frontiers in Neurorobotics
|January 22, 2024
PubMed
Summary

This study enhances vehicle re-identification by using a multi-attribute dense connection network and a distance control module to improve accuracy and efficiency in intelligent transportation systems.

Keywords:
HSV color spacedense connection networkdistance control modulemulti-attributesvehicle re-identification

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
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

556

Related Experiment Videos

Last Updated: Jul 5, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K
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
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

556

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Intelligent Transportation Systems

Background:

  • Vehicle re-identification faces challenges with efficiency and accuracy due to variations in lighting, angles, and equipment.
  • Current methods struggle with recognition time in large datasets and image variations of the same vehicle.

Purpose of the Study:

  • To enhance vehicle re-identification performance.
  • To improve the extraction of color and category information for better recognition.
  • To address the limitations of existing vehicle re-identification techniques.

Main Methods:

  • A multi-attribute dense connection network was developed to extract HSV color and type attributes.
  • A distance control module was integrated to widen inter-class and reduce intra-class distances.
  • The approach combines feature extraction with distance metric learning for improved accuracy.

Main Results:

  • Experiments on multiple datasets demonstrated significant performance enhancements.
  • Key metrics such as accuracy, mean average precision, and rank-n showed substantial improvement.
  • The proposed method proved effective in vehicle re-identification tasks.

Conclusions:

  • The study validates the effectiveness of multi-attribute neural networks and deep learning for vehicle re-identification.
  • The integrated approach improves performance by leveraging color and category information with a distance control module.
  • This research contributes to advancing smart city systems through more efficient and accurate vehicle recognition.