Jove
Visualize
Contact Us

Related Concept Videos

Orthogonal Trajectories01:26

Orthogonal Trajectories

143
Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...
143
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

822
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
822

You might also read

Related Articles

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

Sort by
Same author

The Smart Inertial Device Data from Human Activities dataset.

Scientific data·2026
Same author

Modules and Techniques for Motion Planning: An Industrial Perspective.

Sensors (Basel, Switzerland)·2021
Same author

Augmented Reality Learning Environment for Basic Life Support and Defibrillation Training: Usability Study.

Journal of medical Internet research·2020
Same author

Moving Object Detection in Heterogeneous Conditions in Embedded Systems.

Sensors (Basel, Switzerland)·2017
Same author

ANAlyte: A modular image analysis tool for ANA testing with indirect immunofluorescence.

Computer methods and programs in biomedicine·2016
Same author

An automated approach to the segmentation of HEp-2 cells for the indirect immunofluorescence ANA test.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2015
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 Experiment Video

Updated: Mar 19, 2026

VisioTracker, an Innovative Automated Approach to Oculomotor Analysis
05:51

VisioTracker, an Innovative Automated Approach to Oculomotor Analysis

Published on: October 12, 2011

11.6K

Street Viewer: An Autonomous Vision Based Traffic Tracking System.

Andrea Bottino1, Alessandro Garbo2, Carmelo Loiacono3

  • 1Dipartimento di Automatica ed Informatica, Politecnico di Torino, Torino 10129, Italy. andrea.bottino@polito.it.

Sensors (Basel, Switzerland)
|June 9, 2016
PubMed
Summary
This summary is machine-generated.

Street Viewer analyzes traffic behavior using off-the-shelf cameras, offering a cost-effective, real-time solution for intelligent transportation systems. This self-adaptive system accurately counts vehicles and provides traffic summaries, even on limited hardware.

Keywords:
autonomous systemsflow networkmotion estimationroad traffic monitoringvehicle countingvehicle tracking

More Related Videos

A Novel Single Animal Motor Function Tracking System Using Simple, Readily Available Software
08:22

A Novel Single Animal Motor Function Tracking System Using Simple, Readily Available Software

Published on: August 31, 2018

7.0K
Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

1.4K

Related Experiment Videos

Last Updated: Mar 19, 2026

VisioTracker, an Innovative Automated Approach to Oculomotor Analysis
05:51

VisioTracker, an Innovative Automated Approach to Oculomotor Analysis

Published on: October 12, 2011

11.6K
A Novel Single Animal Motor Function Tracking System Using Simple, Readily Available Software
08:22

A Novel Single Animal Motor Function Tracking System Using Simple, Readily Available Software

Published on: August 31, 2018

7.0K
Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

1.4K

Area of Science:

  • Computer Vision
  • Intelligent Transportation Systems
  • Embedded Systems

Background:

  • Intelligent transportation systems (ITS) require real-time, accurate traffic data.
  • Existing solutions can be costly and computationally intensive.
  • Off-the-shelf optical cameras offer a potential low-cost data source.

Purpose of the Study:

  • To introduce Street Viewer, a novel system for real-time traffic analysis.
  • To demonstrate the system's capability using standard optical cameras.
  • To validate the system's performance on embedded hardware.

Main Methods:

  • A pipelined architecture leveraging multi-threading for efficiency.
  • A self-adaptive approach with a learning mode for flow pattern modeling.
  • On-line mode for vehicle counting and traffic summary generation.
  • Autonomous switching between learning and on-line modes based on flow model stability.

Main Results:

  • Street Viewer operates effectively in real-time on resource-constrained embedded systems.
  • The system achieves high accuracy and robustness in diverse traffic scenarios.
  • Experimental results validate the system's long-term operational stability and adaptability.

Conclusions:

  • Street Viewer provides a cost-effective and accurate solution for real-time traffic monitoring.
  • The system's self-adaptive nature enhances its robustness in dynamic environments.
  • This approach advances the development of practical intelligent transportation systems.