Auflistung nach Autor:in "Becker, Sven"
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- KonferenzbeitragAnalysis of X-ray images of femora for age of death estimation of skeletal individuals(Biosig 2016, 2016) Jeraufke, Saskia; Pflugbeil, Anne-Marie; Becker, Sven; Schildbach, Stefan; Bruchhaus, Horst; Thiele, Karlheinz; Dreßler, Jan; Labudde, Dirk
- ZeitschriftenartikelCOMBI: Artificial Intelligence for Computer-Based Forensic Analysis of Persons(KI - Künstliche Intelligenz: Vol. 36, No. 2, 2022) Becker, Sven; Heuschkel, Marie; Richter, Sabine; Labudde, DirkDuring the prosecution process the primary objective is to prove criminal offences to the correct perpetrator to convict them with legal effect. However, in reality this may often be difficult to achieve. Suppose a suspect has been identified and is accused of a bank robbery. Due to the location of the crime, it can be assumed that there is sufficient image and video surveillance footage available, having recorded the perpetrator at the crime scene. Depending on the surveillance system used, there could be even high-resolution material available. In short, optimal conditions seem to be in place for further investigations, especially as far as the identification of the perpetrator and the collection of evidence of their participation in the crime are concerned. However, perpetrators usually act using some kind of concealment to hide their identity. In most cases, they disguise their faces and even their gait. Conventional investigation approaches and methods such as facial recognition and gait analysis then quickly reach their limits. For this reason, an approach based on anthropometric person-specific digital skeletons, so-called rigs, that is being researched by the COMBI research project is presented in this publication. Using these rigs, it should be possible to assign known identities, comparable to suspects, to unknown identities, comparable to perpetrators. The aim of the COMBI research project is to study the anthropometric pattern as a biometric identifier as well as to make it feasible for the standardised application in the taking of evidence by the police and prosecution. The approach is intended to present computer-aided opportunities for the identification of perpetrators that can support already established procedures.
- KonferenzbeitragEhumanities: intelligent analysis and information system for humanities and culture(INFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 2, 2010) Becker, Sven; Borowski, Marion; Gnasa, Melanie; Stalmann, Kai; Wrobel, Stefan
- TextdokumentHypothesis-driven Case Analysis in 3D-Space as a Support for Forensic Casework(INFORMATIK 2021, 2021) Becker, Sven; Bergmann, Tommy; Peldschus, Steffen; Labudde, DirkInterpreting the evidence found at a crime scene is essential in reconstructing the circumstances of a crime and, hence, solving it. In this paper a classical hypothesis-driven approach is combined with computer-aided modeling. Hereby, the paper focuses on the advantages of 3D models and their added value in the reconstruction of a case by visually supporting the analysis of evidence found at a crime scene. Using the example of blood patterns, it is explained what the static part of an evidence is and how the interpretation of this part, with the help of an interpretation function, results in additional information about the dynamic part of evidence. Further it is explained how this concept can assist the classical hypothesis-driven approach of reconstructing a crime. By using 3D models it is possible to improve the analysis of the formation of evidence and especially the time line. Thus, 3D-models can aid classical forensic casework with a new computer-based approach.