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Methodology for Determining Time Intervals by Video Recordings

https://doi.org/10.30764/1819-2785-2022-2-58-69

Abstract

Video recording as a product of informational and communication technologies has a specific place in the development of the society. The problem of forensic analysis of video recordings has a long history and transforms along with the development of technical means. Video recordings are a valuable source of factual data on cases involving traffic accidents, when in addition to describing the contentrelated side of the case, it is necessary to make certain calculations of temporal and spatial characteristics.
The paper aims to form a unified methodological approach to establishing the temporal characteristics of events recorded on a video as part of forensic analysis of video footage. The authors present a framework for selecting a correct source of data when determining time intervals, describe a step-by-step sequence of actions for an expert to solve the question put to him, and the methods to determine time intervals.

About the Authors

A. G. Boyarov
Russian Federal Centre of Forensic Science of the Ministry of Justice of the Russian Federation 
Russian Federation

 Leading State Forensic Expert of the Laboratory of Forensic Expertise of Video and Audio Recordings

 Moscow 109028, Russia 



O. O. Vlasov
Russian Federal Centre of Forensic Science of the Ministry of Justice of the Russian Federation 
Russian Federation

 Head of the Laboratory of Forensic Expertise of Video and Audio Recordings 

 Moscow 109028, Russia 



I. S. Siparov
NorthWestern Regional Centre of Forensic Science of the Ministry of Justice of the Russian Federation
Russian Federation

Senior State Forensic Expert of the Department of Studies in Extremist Materials, Video and Audio Recordings 

 St. Petersburg 191014, Russia 



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Review

For citations:


Boyarov A.G., Vlasov O.O., Siparov I.S. Methodology for Determining Time Intervals by Video Recordings. Theory and Practice of Forensic Science. 2022;17(2):58-69. https://doi.org/10.30764/1819-2785-2022-2-58-69

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ISSN 1819-2785 (Print)
ISSN 2587-7275 (Online)