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Related Experiment Video

Updated: Jul 9, 2026

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

Efficient height measurement method of surveillance camera image.

Joong Lee¹, Eung-Dae Lee, Hyun-Oh Tark

¹Section of Image Analysis, Department of Forensic Medicine, National Institute of Scientific Investigation, #331-1 Shinwol 7-Dong, Yangcheon-Ku, Seoul 158-707, Republic of Korea. ljfirst@nisi.go.kr

Forensic Science International

|December 22, 2007

Summary

This study presents a novel method for accurate height measurement from CCTV footage. The technique utilizes photogrammetry and a 3D virtual ruler, offering stable results for forensic evidence.

Related Experiment Videos

Last Updated: Jul 9, 2026

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

Area of Science:

Forensic Science
Computer Vision
Photogrammetry

Background:

Surveillance cameras are widespread, but image quality often limits detailed evidence extraction.
Identifying individuals by features or clothing is challenging due to camera limitations.
Human height, however, remains a relatively stable biometric characteristic unaffected by camera performance.

Purpose of the Study:

To develop and validate a reliable method for measuring human height from Closed-Circuit Television (CCTV) images.
To overcome the limitations of low-resolution surveillance footage for biometric identification.
To provide a more stable and accurate height estimation technique for forensic applications.

Main Methods:

Employed photogrammetry principles for 3D spatial analysis from 2D images.
Incorporated reference points within the photographed scene for scale.
Developed a calibration process (linear and nonlinear) to establish 3D-to-2D image correlations.
Projected a 3D virtual ruler onto the image for direct height measurement.

Main Results:

The proposed method successfully estimated height from CCTV images.
The technique demonstrated superior stability in height measurements compared to existing methods.
Results showed reliable values within the data convergence range.

Conclusions:

Height measurement from CCTV is feasible and can be accurately achieved using photogrammetric techniques.
The 3D virtual ruler method offers a robust solution for extracting reliable height data from surveillance footage.
This advancement enhances the utility of CCTV evidence in forensic investigations.