Human height estimation from highly distorted surveillance image

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Autor:innen
Tosti, Francesco
Nardinocchi, Carla
Ciampini, Claudio
Marsella, Maria
Lopes, Pierpaolo
Giuliani, Samuele
Autor:in (Körperschaft)
Publikationsdatum
01.10.2021
Typ der Arbeit
Studiengang
Typ
01A - Beitrag in wissenschaftlicher Zeitschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Journal of Forensic Sciences
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
67
Ausgabe / Nummer
1
Seiten / Dauer
332-344
Patentnummer
Verlag / Herausgebende Institution
Wiley
Verlagsort / Veranstaltungsort
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
Video surveillance camera (VSC) is an important source of information during inves- tigations especially if used as a tool for the extraction of verified and reliable foren- sic measurements. In this study, some aspects of human height extraction from VSC video frames are analyzed with the aim of identifying and mitigating error sources that can strongly affect the measurement. More specifically, those introduced by lens distortion are present in wide-field-of-view lens such as VSCs. A weak model, which is not able to properly describe and correct the lens distortion, could introduce sys- tematic errors. This study focuses on the aspect of camera calibration to verify human height extraction by Amped FIVE software, which is adopted by the Forensic science laboratories of Carabinieri Force (RaCIS), Italy. A stable and reliable approach of cam- era calibration is needed since investigators have to deal with different cameras while inspecting the crime scene. The performance of the software in correcting distorted images is compared with a technique of single view self-calibration. Both approaches were applied to several frames acquired by a fish-eye camera and then measuring the height of five different people. Moreover, two actual cases, both characterized by common low-resolution and distorted images, were also analyzed. The height of four known persons was measured and used as reference value for validation. Results show no significant difference between the two calibration approaches working with fish-eye camera in test field, while evidence of differences was found in the measure- ment on the actual cases.
Schlagwörter
Camera calibration, Height measurements, Image distortion, Photogrammetry, Space resection, Terrestrial laser scanner, Vanishing line and point
Fachgebiet (DDC)
600 - Technik, Medizin, angewandte Wissenschaften
Projekt
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
0022-1198
1556-4029
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Publikationsstatus
Unveröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Hybrid
Lizenz
'https://creativecommons.org/licenses/by-nc-nd/4.0/'
Zitation
TOSTI, Francesco, Carla NARDINOCCHI, Claudio CIAMPINI, Maria MARSELLA, Pierpaolo LOPES, Samuele GIULIANI und Wissam WAHBEH, 2021. Human height estimation from highly distorted surveillance image. Journal of Forensic Sciences. 1 Oktober 2021. Bd. 67, Nr. 1, S. 332–344. DOI 10.1111/1556-4029.14888. Verfügbar unter: https://doi.org/10.1111/1556-4029.14888

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2023-06-14 09:52:57
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