Determination of Time Intervals from Videograms – Screen Copies
https://doi.org/10.30764/1819-2785-2024-1-91-101
Abstract
The article suggests ways to determine time intervals based on video recordings obtained by shooting or capturing an image of the screen on which the original video is broadcast. The authors consider examples of determining the duration of inter-frame intervals based on such video, as well as cases from expert practice.
About the Authors
O. O. Vlasov
The Russian Federal Centre of Forensic Science of the Ministry of Justice of the Russian Federation
Russian Federation
Russian Federation
Vlasov Oleg Olegovich – Head of Department of Forensic Expertise of Video and Audio Recordings,
Moscow.
P. V. Vasin
The Russian Federal Centre of Forensic Science of the Ministry of Justice of the Russian Federation
Russian Federation
Russian Federation
Vasin Pavel Victorovich – Deputy Head of Department of Forensic Expertise of Video and Audio Recordings,
Moscow.
References
1. Boyarov A.G., Vlasov O.O., Siparov I.S. Methodology for Determining Time Intervals by Video Recordings. Theory and Practice of Forensic Science. 2022. Vol. 17. No. 2. P. 58–69. (In Russ.). https://doi.org/10.30764/1819-2785-2022-2-58-69
2. Petrov S.M., Boyarov A.G., Vlasov O.O., Shavykina S.B., Krivoshchekov S.A. Identifying Video Recordings of Road Accidents, Positions and Movement Parameters of Its Participants. Mthodological Recommendations for Experts. 2nd ed. Moscow: RFCFS, 2022. 95 p. (In Russ.). https://doi.org/10.30764/978-5-91133-246-4-2022-12
3. Javadi S., Dahl M., Pettersson M.I. Vehicle Speed Measurement Model for Video-Based Systems. Computers & Electrical Engineering. 2019. Vol. 76. P. 238–248. https://doi.org/10.1016/j.compeleceng.2019.04.001
4. Vlasov O.O., Shavykina S.B., Boyarov A.G., Karpukhina E.S., Sidorova A.K. Procedure for Examining Files Containing Digital Images (16m01, 21m-02). Мoscow: RFCFS, 2023. 92 p. (In Russ.). https://doi.org/10.30764/978-5-91133-266-2-2023
5. Nguyen T.T., Pham X.D., Song J.H., Jin S., Kim D., Jeon J.W. Compensating Background for Noise due to Camera Vibration in Uncalibrated-Camera-Based Vehicle Speed Measurement System. IEEE Transactions on Vehicular Technology. 2011. Vol. 60. No. 1. P. 30–43. http://doi.org/10.1109/tvt.2010.2096832
6. Dehghani A., Parsayan A. Single Camera Vehicles Speed Measurement. 8th Iranian Conference on Machine Vision and Image Processing (MVIP) (Zanjan, September 10–12, 2013). IEEE, 2013. P. 190–193. http://doi.org/10.1109/iranianmvip.2013.6779976
7. Czapla Z. Vehicle Speed Estimation with the Use of Gradient-Based Image Conversion into Binary Form. Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) (Poznan, September 20–22, 2017). IEEE, 2017. P. 213–216. http://doi.org/10.23919/spa.2017.8166866
8. Considerations for the Use of Time-Based Analysis of Digital Video for Court. Version: 1.0 (September 17, 2020). Scientific Working Group on Digital Evidence (SWGDE). 7 p.
Review
For citations:
Vlasov O.O., Vasin P.V. Determination of Time Intervals from Videograms – Screen Copies. Theory and Practice of Forensic Science. 2024;19(1):91-101. (In Russ.) https://doi.org/10.30764/1819-2785-2024-1-91-101
Views:
743
Email this article 