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 Axes01:25

Relative Motion Analysis using Rotating Axes

1.0K
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...
1.0K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

834
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...
834
Non-uniform Circular Motion01:22

Non-uniform Circular Motion

7.7K
In uniform circular motion, the particle executing circular motion has a constant speed, and the circle is at a fixed radius. However, not all circular motion occurs at a constant speed. A particle can travel in a circle and speed up or slow down, showing an acceleration in the direction of motion. In that case, the motion is called non-uniform circular motion, and an additional acceleration is introduced, which is in the direction tangential to the circle. 
For example, such...
7.7K
Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

1.6K
Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the...
1.6K
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

967
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...
967
Uniform Circular Motion01:14

Uniform Circular Motion

18.7K
Uniform circular motion is a specific type of motion in which an object travels in a circle with a constant speed. For example, any point on a propeller spinning at a constant rate is undergoing uniform circular motion. The second, minute, and hour hands of a watch also undergo uniform circular motion. It is hard to believe that points on these rotating objects are actually accelerating, even though the rotation rate is constant. To understand this, we must analyze the motion in terms of...
18.7K

You might also read

Related Articles

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

Sort by
Same author

Deep learning for end-to-end kidney cancer diagnosis on multi-phase abdominal computed tomography.

NPJ precision oncology·2021
Same author

Graph Cut-Based Human Body Segmentation in Color Images Using Skeleton Information from the Depth Sensor.

Sensors (Basel, Switzerland)·2019
Same journal

Opportunities and Challenges of Integrating Ethiopian Traditional Medicine System Into Modern Medicine: A Narrative Review.

TheScientificWorldJournal·2026
Same journal

Exploring the Antiparasitic Activity of the Sea Cucumber Isostichopus sp. aff. badionotus From the Northern Coast of Colombia Against Trypanosoma cruzi.

TheScientificWorldJournal·2026
Same journal

Kalanchoe ceratophylla (Crassulaceae): The True Identity of Sidingin, a Medicinal Plant From Sumatra, Based on Morphological and Molecular Evidence.

TheScientificWorldJournal·2026
Same journal

Genetic Variation of Chicken Growth Differentiation Factor-9 Gene and Association With Egg Characteristics: A Systematic Review.

TheScientificWorldJournal·2026
Same journal

Applied Research on the Effect of Risks on Public Health Building Projects' Performance: Empirical Results From Tanzania.

TheScientificWorldJournal·2026
Same journal

Projected Impacts of Climate and Land Use/Land Cover Change on Sediment Yield and Surface Runoff in the Baro River Sub-Basin, Ethiopia.

TheScientificWorldJournal·2026
See all related articles

Related Experiment Video

Updated: Apr 23, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

16.3K

Nonuniform video size reduction for moving objects.

Anh Vu Le1, Seung-Won Jung2, Chee Sun Won1

  • 1Department of Electrical and Electronic Engineering, Dongguk University-Seoul, Seoul 100-715, Republic of Korea.

Thescientificworldjournal
|September 27, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for detecting moving objects of interest (MOOIs) in surveillance videos using a spatiotemporal gradient map (STGM). This approach enhances object recognition even after low-bitrate video compression.

More Related Videos

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

11.5K
Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

6.3K

Related Experiment Videos

Last Updated: Apr 23, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

16.3K
Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

11.5K
Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

6.3K

Area of Science:

  • Computer Vision
  • Video Analysis
  • Digital Image Processing

Background:

  • Moving objects of interest (MOOIs) in surveillance require robust detection methods.
  • Traditional bounding box methods struggle with temporal dynamics in video frames.
  • Effective object detection is crucial for video compression and recognition.

Purpose of the Study:

  • To develop an optimal bounding box encapsulation method for MOOIs in surveillance videos.
  • To improve the recognizability of MOOIs after low-bitrate video compression.
  • To quantify object traces using spatiotemporal information.

Main Methods:

  • Utilizing a group of frames (GoF) to capture temporal object activities.
  • Quantifying object traces by forming a spatiotemporal gradient map (STGM).
  • Determining optimal bounding boxes based on peak average STGM energy.

Main Results:

  • The STGM effectively highlights the boundaries of MOOIs within a GoF.
  • Optimal bounding boxes were identified using peak STGM energy.
  • The method enables object-aware size reduction for improved compression.

Conclusions:

  • The proposed optimal encapsulation method enhances MOOI detection in surveillance videos.
  • This technique ensures object recognizability despite low-bitrate video compression.
  • Spatiotemporal gradient analysis provides a robust approach for MOOI identification.