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Related Experiment Video

Updated: Apr 26, 2026

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

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Published on: December 15, 2023

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Single-view object height estimation using ground point detection.

Sung Min Kim1, Chang Ha Lee2, Briel Ga2

  • 1Department of Computer Science and Electrical Engineering, Handong Global University, Pohang, South Korea.

Journal of Forensic Sciences
|April 24, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for estimating object height from monocular surveillance images, even when objects are on different planes. The enhanced technique improves accuracy and reliability in forensic applications.

Keywords:
computer visionheight estimationheight measurementimage metrologymonocular cameravanishing point and line

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Area of Science:

  • Computer Vision
  • Forensic Science
  • Image Analysis

Background:

  • Object height estimation from surveillance images is crucial for forensic analysis.
  • Conventional methods are limited by requiring objects to be on the same plane.
  • Real-world scenarios often involve objects on different, non-aligned planes.

Purpose of the Study:

  • To develop an enhanced method for object height estimation from monocular images.
  • To enable height estimation for objects on different but parallel planes.
  • To improve the accuracy and robustness of object height estimation in forensic contexts.

Main Methods:

  • Proposed an enhanced method for object height estimation using a single (monocular) image.
  • Introduced a technique to estimate a ground point, the intersection of object planes.
  • Utilized automated vanishing line detection based on gravity direction for geometric stabilization.

Main Results:

  • The enhanced method allows height estimation for objects on different parallel planes.
  • Achieved reduced estimation error compared to conventional methods.
  • Demonstrated improved robustness and lower standard error in repeated trials.

Conclusions:

  • The proposed method overcomes limitations of traditional object height estimation techniques.
  • Enhanced accuracy and reliability are achieved through automated geometric estimation.
  • The method offers a more practical solution for forensic object height analysis.