Your car is recording: Metadata-driven dashcam analysis system

Kukheon Lee; Jong Hyun Choi; Jungheum Park; Sangjin Lee

doi:10.1016/j.fsidi.2021.301131

Your car is recording: Metadata-driven dashcam analysis system

Kukheon Lee, Jong Hyun Choi, Jungheum Park, Sangjin Lee

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Dashcam as an on-board camera is useful as a source of potential digital evidence not only to reveal the truth of a traffic accident but also to explain the situation of a crime scene as a moving surveillance camera. It stores multimedia data as well as a variety of additional information needed for accident investigation including time, location, speed, accelerometer, etc. Under these circumstances, various studies have been conducted for dashcam forensics, but most of them focused mainly on extracting and interpreting visual video frames. In this paper, we identify and classify various metadata generated by 14 dashcam models produced by 11 manufacturers. Furthermore, we develop a normalized database schema to manage multiple different metadata and then discuss several dashcam forensic activities based on it. In addition, a prototype open-source tool is presented to support the proposed metadata-driven dashcam forensics.

Original language	English
Article number	301131
Journal	Forensic Science International: Digital Investigation
Volume	38
DOIs	https://doi.org/10.1016/j.fsidi.2021.301131
Publication status	Published - 2021 Oct

Keywords

Container
Dashcam
Digital forensics
Footage
Metadata
onBoardCam

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Pathology and Forensic Medicine
Law
Medical Laboratory Technology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.fsidi.2021.301131

Cite this

@article{c9772bf637194011be69059494493a2d,

title = "Your car is recording: Metadata-driven dashcam analysis system",

abstract = "Dashcam as an on-board camera is useful as a source of potential digital evidence not only to reveal the truth of a traffic accident but also to explain the situation of a crime scene as a moving surveillance camera. It stores multimedia data as well as a variety of additional information needed for accident investigation including time, location, speed, accelerometer, etc. Under these circumstances, various studies have been conducted for dashcam forensics, but most of them focused mainly on extracting and interpreting visual video frames. In this paper, we identify and classify various metadata generated by 14 dashcam models produced by 11 manufacturers. Furthermore, we develop a normalized database schema to manage multiple different metadata and then discuss several dashcam forensic activities based on it. In addition, a prototype open-source tool is presented to support the proposed metadata-driven dashcam forensics.",

keywords = "Container, Dashcam, Digital forensics, Footage, Metadata, onBoardCam",

author = "Kukheon Lee and Choi, {Jong Hyun} and Jungheum Park and Sangjin Lee",

note = "Funding Information: This work was supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government ( MSIT ) (No. 2018-0-01000 , Development of Digital Forensic Integration Platform). Publisher Copyright: {\textcopyright} 2021 The Authors",

year = "2021",

month = oct,

doi = "10.1016/j.fsidi.2021.301131",

language = "English",

volume = "38",

journal = "Forensic Science International: Digital Investigation",

issn = "2666-2825",

publisher = "Elsevier Ltd",

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TY - JOUR

T1 - Your car is recording

T2 - Metadata-driven dashcam analysis system

AU - Lee, Kukheon

AU - Choi, Jong Hyun

AU - Park, Jungheum

AU - Lee, Sangjin

N1 - Funding Information: This work was supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government ( MSIT ) (No. 2018-0-01000 , Development of Digital Forensic Integration Platform). Publisher Copyright: © 2021 The Authors

PY - 2021/10

Y1 - 2021/10

N2 - Dashcam as an on-board camera is useful as a source of potential digital evidence not only to reveal the truth of a traffic accident but also to explain the situation of a crime scene as a moving surveillance camera. It stores multimedia data as well as a variety of additional information needed for accident investigation including time, location, speed, accelerometer, etc. Under these circumstances, various studies have been conducted for dashcam forensics, but most of them focused mainly on extracting and interpreting visual video frames. In this paper, we identify and classify various metadata generated by 14 dashcam models produced by 11 manufacturers. Furthermore, we develop a normalized database schema to manage multiple different metadata and then discuss several dashcam forensic activities based on it. In addition, a prototype open-source tool is presented to support the proposed metadata-driven dashcam forensics.

AB - Dashcam as an on-board camera is useful as a source of potential digital evidence not only to reveal the truth of a traffic accident but also to explain the situation of a crime scene as a moving surveillance camera. It stores multimedia data as well as a variety of additional information needed for accident investigation including time, location, speed, accelerometer, etc. Under these circumstances, various studies have been conducted for dashcam forensics, but most of them focused mainly on extracting and interpreting visual video frames. In this paper, we identify and classify various metadata generated by 14 dashcam models produced by 11 manufacturers. Furthermore, we develop a normalized database schema to manage multiple different metadata and then discuss several dashcam forensic activities based on it. In addition, a prototype open-source tool is presented to support the proposed metadata-driven dashcam forensics.

KW - Container

KW - Dashcam

KW - Digital forensics

KW - Footage

KW - Metadata

KW - onBoardCam

UR - http://www.scopus.com/inward/record.url?scp=85119627462&partnerID=8YFLogxK

U2 - 10.1016/j.fsidi.2021.301131

DO - 10.1016/j.fsidi.2021.301131

M3 - Article

AN - SCOPUS:85119627462

SN - 2666-2825

VL - 38

JO - Forensic Science International: Digital Investigation

JF - Forensic Science International: Digital Investigation

M1 - 301131

ER -

Your car is recording: Metadata-driven dashcam analysis system

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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