Using drone-mounted cameras for on-site body documentation: 3D mapping and active survey

Urbanova, Petra; Jurda, Mikoláš; Vojtíšek, Tomáš; Krajsa, Jan

doi:10.1016/j.forsciint.2017.10.027

Cited by 41 publications

(28 citation statements)

References 22 publications

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“…The recent investment of UAV technology by UK and international law enforcement enables even the smallest law enforcement agencies to have constant aerial support [33]. With regard to this, the value of UAV technology within law enforcement is becoming increasingly realised worldwide with new capabilities including crime scene photography [33], scene reconstruction [34] and safety assessment [41] being reported frequently within academia and international media, despite some public privacy concerns [42].…”

Section: Discussionmentioning

confidence: 99%

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A Low Cost Approach to Disturbed Soil Detection Using Low Altitude Digital Imagery from an Unmanned Aerial Vehicle

Parrott

Panter

Morrissey

et al. 2019

Drones

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Until recently, clandestine burial investigations relied upon witness statements to determine target search areas of soil and vegetation disturbance. Due to this, remote sensing technologies are increasingly used to detect fresh clandestine graves. However, despite the increased capabilities of remote sensing, clandestine burial searches remain resourcefully intensive as the police have little access to the technology when it is required. In contrast to this, Unmanned Aerial Vehicle (UAV) technology is increasingly popular amongst law enforcement worldwide. As such, this paper explores the use of digital imagery collected from a low cost UAV for the aided detection of disturbed soil sites indicative of fresh clandestine graves. This is done by assessing the unaltered UAV video output using image processing tools to detect sites of disturbance, therefore highlighting previously unrecognised capabilities of police UAVs. This preliminary investigation provides a low cost rapid approach to detecting fresh clandestine graves, further supporting the use of UAV technology by UK police.

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Section: Discussionmentioning

confidence: 99%

“…In contrast to this, UAV technology has gained popularity amongst law enforcement agencies as a low cost aerial support tool [33,34]. Due to its capability for fast deployment with limited demands upon police resources.…”

Section: Introductionmentioning

confidence: 99%

A Low Cost Approach to Disturbed Soil Detection Using Low Altitude Digital Imagery from an Unmanned Aerial Vehicle

Parrott

Panter

Morrissey

et al. 2019

Drones

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“…Unmanned aerial vehicles (UAVs), or 'drones' have brought about significant increases in lowcost, close range possibilities for aerial photography and remote sensing, compared with more traditional aerial platforms used for image acquisition; such as using manned aerial vehicles (MAVs) or satellites [1,2]. Originally used for military purposes, the capability of using smaller…”

Section: Introductionmentioning

confidence: 99%

“…Nonetheless, recent research by Urbanová et al [2] has demonstrated the convenient use of UAV photography as professional investigative equipment for documenting outdoor crime scenes and surface evidence. Identifying soil disturbances on the other hand where anomalies are more inconspicuous is new to research involving UAV execution.…”

Section: Introductionmentioning

confidence: 99%

The application of low-altitude near-infrared aerial photography for detecting clandestine burials using a UAV and low-cost unmodified digital camera

Evers

Masters

2018

Forensic Science International

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Aerial photography and remote sensing has been carried out in the past by numerous different platforms, utilizing imaging from across the electromagnetic (EM) spectrum to gain information about the earth. These techniques have additionally been found effective when locating mass graves and single clandestine graves created by perpetrators when concealing homicide victims. Applications for performing aerial photography and remote sensing are costly and therefore usually overlooked by police investigators, resulting in employing more contemporary geophysical methods for locating burials. Recent advances in technology however have seen the development of small Unmanned Aerial Vehicles (UAVs) for aerial photography which can be executed at low altitude and controlled remotely from the surface. This development has introduced low-cost approaches in detecting surface features, commonly utilised in the archaeological field for its accuracy in detecting anomalies, particularly when using near-infrared (NIR) photography. NIR aerial images have been shown to expose cropmarks of historical value which are unnoticeable in conventional colour photography, deriving from the visual area of the EM spectrum. However, little attempt has been made to investigate the practice of NIR photography to detect clandestine graves using low-cost aerial platforms in the form of UAVs. This paper considers adopting a low-cost and non-invasive approach to detect clandestine graves through the implementation of a small UAV and an unmodified GoPro camera fixed with a near-infrared filter. The results presented here have recognised real-time suitability for using UAVs as an aerial photographic platform in the forensic archaeological field as well as noting the advantage of NIR photography as an ongoing technique for discriminating recent graves from their surroundings.

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“…During the last two decades, three-dimensional recording has emerged as a progressive documentation technique, beneficial for a daily routine workflow in a variety of scientific fields, such as forensic sciences (Urbanová et al 2015;Urbanová et al 2017), human osteology (Ege et al 2004, Jurda andUrbanová 2016), clinical research (Šrubař et al 2015), the entertainment and game industry (Chalás et al 2017), and the humanities (Demetrescu 2015). Photo-realistic textured surface scans of the human body -acquired by technologies ranging from laser or white light scanning to passive photogrammetry to infra-red sensors -have reached a quality that allows multiple tasks (such as measurement, diagnostics, archiving, data management, and quality control) cipline, however, puts different requirements on the collected datasets.…”

Section: Introducing the Fidentis 3d Face Database Introductionmentioning

confidence: 99%

Introducing the FIDENTIS 3D Face Database

Urbanová

Ferková

Jandová

et al. 2018

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Face databases have assumed an important role in a variety of clinical and applied research domains. However, the number of datasets accessible to the scientific community is limited and the knowledge of their existence may be concealed from a wider range of specialists. In the present paper we introduce a sizeable dataset of 3D facial scans - FIDENTIS 3D Face Database (F3D-FD or FIDENTIS Database), which is accompanied by basic demographic and descriptive data. The database is structured according to recorded subjects, and comprises single-scan entries as well as a smaller number of multiscan entries. The multi-scan entries vary in the time passed between recording sessions and in the devices employed to collect the 3D data. The total number of 2476 individuals puts our database within the category of large-scale databases. The 3D scans are accessible through a web-based interface at www. fidentis.cz. A licensed version of the database is available to interested parties upon signing a license agreement. Because of its varied composition, and low target-specificity the database has capacity to be of great assistance for the worldwide research community.

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Using drone-mounted cameras for on-site body documentation: 3D mapping and active survey

Cited by 41 publications

References 22 publications

A Low Cost Approach to Disturbed Soil Detection Using Low Altitude Digital Imagery from an Unmanned Aerial Vehicle

A Low Cost Approach to Disturbed Soil Detection Using Low Altitude Digital Imagery from an Unmanned Aerial Vehicle

The application of low-altitude near-infrared aerial photography for detecting clandestine burials using a UAV and low-cost unmodified digital camera

Introducing the FIDENTIS 3D Face Database

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