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

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

562
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...
562
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

680
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
680
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

555
A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
555
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

408
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
408

You might also read

Related Articles

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

Sort by
Same author

Deep Affinity Network for Multiple Object Tracking.

IEEE transactions on pattern analysis and machine intelligence·2019
Same author

Permeation of particle through a four-helix-bundle model channel.

The Journal of chemical physics·2005
Same author

Immunogenicity, safety, and protective efficacy of an inactivated SARS-associated coronavirus vaccine in rhesus monkeys.

Vaccine·2005
Same author

Phase III study of the Eastern Cooperative Oncology Group (ECOG 2597): induction chemotherapy followed by either standard thoracic radiotherapy or hyperfractionated accelerated radiotherapy for patients with unresectable stage IIIA and B non-small-cell lung cancer.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2005
Same author

Towards automatic clustering of protein sequences.

Proceedings. IEEE Computer Society Bioinformatics Conference·2005
Same author

Accelerating approximate subsequence search on large protein sequence databases.

Proceedings. IEEE Computer Society Bioinformatics Conference·2005

Related Experiment Video

Updated: Nov 30, 2025

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

13.9K

Vehicle Spatial Distribution and 3D Trajectory Extraction Algorithm in a Cross-Camera Traffic Scene.

Xinyao Tang1, Huansheng Song1, Wei Wang1

  • 1School of Information Engineering, Chang'an University, Xi'an 710064, China.

Sensors (Basel, Switzerland)
|November 18, 2020
PubMed
Summary

This study introduces a novel algorithm for extracting continuous three-dimensional (3D) vehicle trajectories from multiple camera views. The method enhances traffic behavior analysis by overcoming limitations of single-camera systems and improving 3D spatial understanding.

Keywords:
3D trajectory extractioncamera calibrationcross-camera traffic sceneroad panoramic imagevehicle spatial distribution

More Related Videos

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
06:36

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

1.3K
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

3.9K

Related Experiment Videos

Last Updated: Nov 30, 2025

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

13.9K
Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
06:36

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

1.3K
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

3.9K

Area of Science:

  • Computer Vision
  • Traffic Engineering
  • Robotics

Background:

  • Current cross-camera trajectory extraction methods suffer from narrow visual angles and lack continuous 3D spatial data.
  • Accurate vehicle trajectory data is crucial for comprehensive traffic behavior analysis.
  • Limitations in existing methods hinder effective 3D reconstruction and tracking in complex traffic environments.

Purpose of the Study:

  • To propose a novel algorithm for vehicle spatial distribution and 3D trajectory extraction.
  • To address the limitations of existing methods in single-camera scenes and 3D trajectory continuity.
  • To enable more accurate and comprehensive traffic behavior analysis through improved 3D vehicle tracking.

Main Methods:

  • Generation of a panoramic road image with spatial information using camera calibration to convert cross-camera views into 3D physical space.
  • Utilizing YOLOv4 for detecting 2D vehicle bounding boxes in cross-camera scenes.
  • Construction of 3D bounding boxes and calculation of vehicle projection centroids using geometric constraints, followed by spatial distribution analysis for 3D trajectory extraction.

Main Results:

  • The proposed algorithm successfully extracts vehicle spatial distribution and 3D trajectories in diverse traffic scenarios.
  • Experimental results demonstrate superior performance compared to existing comparison algorithms.
  • The method effectively overcomes the narrow visual angle problem and ensures continuity of 3D trajectories.

Conclusions:

  • The developed algorithm provides an effective solution for 3D vehicle trajectory extraction and spatial distribution analysis.
  • This advancement significantly improves the accuracy and continuity of vehicle tracking in complex traffic environments.
  • The findings contribute to enhanced traffic behavior analysis and intelligent transportation systems.