Advanced Forensic Analysis for Vehicle Speed Estimation: A Two-Video Comparison Approach

A forensic analysis method for estimating vehicle speed is introduced by comparing two video sources from the same device (e.g., smartphone, security camera) in the same field of view. An initial reference video, featuring a single vehicle with a known speed determined by GPS data, is required for the proposed algorithm. Using this reference, the speed of a vehicle in a second video-where the speed is unknown or under question-can be estimated. Speed calculation in the second video relies on a user-defined region of interest (ROI), which is specified by free-hand drawing two lines. The algorithm combines the YOLO method and some optimization techniques in order to reduce processing time-by up to 97%. This approach offers a significant improvement in forensic video analysis, providing a faster and more reliable method for estimating vehicle speeds over a defined distance, which is crucial for law enforcement and investigations.

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Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1109/isdfs65363.2025.11012096
Citations
1
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.68
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article

Advanced Forensic Analysis for Vehicle Speed Estimation: A Two-Video Comparison Approach

Christos Liambas, Athanasios Manios
1 citations
Autonomous Vehicle Technology and Safety
0.68
article

Advanced Forensic Analysis for Vehicle Speed Estimation: A Two-Video Comparison Approach

Christos Liambas, Athanasios Manios
article en
1 citations

Abstract

A forensic analysis method for estimating vehicle speed is introduced by comparing two video sources from the same device (e.g., smartphone, security camera) in the same field of view. An initial reference video, featuring a single vehicle with a known speed determined by GPS data, is required for the proposed algorithm. Using this reference, the speed of a vehicle in a second video-where the speed is unknown or under question-can be estimated. Speed calculation in the second video relies on a user-defined region of interest (ROI), which is specified by free-hand drawing two lines. The algorithm combines the YOLO method and some optimization techniques in order to reduce processing time-by up to 97%. This approach offers a significant improvement in forensic video analysis, providing a faster and more reliable method for estimating vehicle speeds over a defined distance, which is crucial for law enforcement and investigations.

Aristotle University of Thessaloniki (GR), Metropolitan College (GR)
Openalex Percentile: Top 30%
Autonomous Vehicle Technology and Safety
0.68
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