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

Propagation of Action Potentials01:23

Propagation of Action Potentials

15.1K
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
15.1K
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

1.9K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
1.9K

You might also read

Related Articles

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

Sort by
Same author

Responsiveness of the Oldenburg Burnout Inventory for Medical Students and Predictors of Sustained Burnout during Clinical Clerkships: A Five-Wave Longitudinal Cohort Study.

Journal of evaluation in clinical practice·2026
Same author

Corrigendum to "Extracellular matrix remodeling in calcific aortic valve disease: Localized enrichment of type III collagen and LTBP-4" [Matrix Biol Plus 30 (2026) 100194].

Matrix biology plus·2026
Same author

Effect of Alumina Airborne-Particle Abrasion Followed by Plasma Treatment on Bond Strength of Dental PEEK to MMA-Based Luting Systems.

Bioengineering (Basel, Switzerland)·2026
Same author

Extracellular matrix remodeling in calcific aortic valve disease: Localized enrichment of type III collagen and LTBP-4.

Matrix biology plus·2026
Same author

Comprehensive analysis of the skeletal phenotype in Chst14-/- mice: implications for dermatan sulfate in bone structure and strength.

Glycobiology·2026
Same author

Involvement of Fibro-Adipogenic Progenitors and Cellular Communication Network Family Signaling in the Impaired Muscle Regeneration of Wooden Breast.

The journal of poultry science·2026

Related Experiment Video

Updated: Apr 24, 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

8.7K

Tracking pedestrians across multiple microcells based on successive Bayesian estimations.

Yoshiaki Taniguchi1, Masahiro Sasabe2, Takafumi Watanabe3

  • 1Faculty of Science and Engineering, Kindai University, Higashiosaka 577-8502, Japan.

Thescientificworldjournal
|September 4, 2014
PubMed
Summary

This study introduces a novel method for tracking multiple pedestrians using binary sensors. The approach enhances pedestrian tracking accuracy by up to 35% compared to existing methods.

More Related Videos

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.4K
Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

8.1K

Related Experiment Videos

Last Updated: Apr 24, 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

8.7K
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.4K
Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

8.1K

Area of Science:

  • Computer Science
  • Robotics
  • Artificial Intelligence

Background:

  • Accurate multi-pedestrian tracking is crucial for various applications like surveillance and autonomous systems.
  • Existing methods often face challenges in dense environments or with sensor limitations.

Purpose of the Study:

  • To develop an effective method for tracking multiple pedestrians using a network of binary sensors.
  • To improve the accuracy and reliability of pedestrian trajectory estimation.

Main Methods:

  • Utilizing sensor nodes at 'gates' (doors, stairs, elevators) to detect pedestrian arrival/departure events.
  • Employing Bayesian estimation for matching gate events and tracking within 'microcells'.
  • Integrating estimated pedestrian velocity and reliability for enhanced trajectory prediction in subsequent microcells.

Main Results:

  • The proposed method demonstrates improved pedestrian tracking accuracy.
  • Simulation experiments show an accuracy enhancement of up to 35% over conventional methods.
  • The integration of velocity and reliability data positively impacts trajectory estimation.

Conclusions:

  • The proposed binary sensor network method offers a significant improvement in multi-pedestrian tracking.
  • This approach provides a more accurate and robust solution for pedestrian monitoring in complex environments.