An innovative method for human height estimation combining video images and 3D laser scanning

Area of Science:

• Forensic Science
• Photogrammetry
• 3D Imaging

Background:

• Traditional human height estimation from surveillance footage relies on projective geometry, which is often impractical due to camera unavailability or lack of reference points.
• Existing 3D laser scanning methods for height estimation involve approximations that can lead to significant measurement errors.

Purpose of the Study:

• To develop and validate a novel method for accurate human height estimation by projecting 2D video images onto 3D laser scan models.
• To address the limitations of traditional methods and improve anthropometric measurements in forensic investigations.

Main Methods:

• A new methodology was developed by projecting subject images directly onto a 3D laser-scanned model of the environment.
• A real-world case study was conducted in a controlled environment by the Carabinieri Forensic Investigation Department.
• Human height was estimated by combining 2D frames from digital video surveillance systems with 3D laser scanning data and point cloud analysis.

Main Results:

• The study successfully estimated the height of five subjects using the combined 2D image and 3D laser scanning approach.
• Most estimated heights were found to be less than the actual subject height, with variations influenced by subject posture during movement.
• Statistical analysis quantified the differences between real and estimated heights.

Conclusions:

• The integration of 2D surveillance imagery with 3D laser scanning provides a viable method for human height estimation in forensic contexts.
• The method offers an improvement over traditional techniques, but further research into posture correction is recommended for enhanced accuracy.
• This approach aids in deriving crucial anthropometric data from digital forensic evidence.