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Computer vision meets visual analytics: Enabling 4D crime scene investigation from image and video data

 
: Pollok, Thomas; Kraus, Matthias; Qu, Chengchao; Miller, Matthias; Moritz, Tobias; Kilian, Timon; Keim, Daniel; Jentner, Wolfgang

:

Institution of Engineering and Technology -IET-; Institute of Electrical and Electronics Engineers -IEEE-:
9th International Conference on Imaging for Crime Detection and Prevention, ICDP 2019 : 16-18 December 2019, London, UK
London: IET, 2019
ISBN: 978-1-83953-109-5
pp.44-49
International Conference on Imaging for Crime Detection and Prevention (ICDP) <9, 2019, London>
European Commission EC
H2020; 740754; VICTORIA
Video analysis for Investigation of Criminal and TerrORIst Activities
English
Conference Paper
Fraunhofer IOSB ()
4D reconstruction; computer vision; Crime Scene Investigation; Visual Exploration; forensics

Abstract
In case of a crime or terrorist attack, nowadays much video footage is available from surveillance and mobile cameras recorded by witnesses. While immediate results can be crucial for the prevention of further incidents, the investigation of such events is typically very costly due to the human resources and time that are needed to process the mass data for an investigation. In this paper, we present an approach that creates a 4D reconstruction from mass data, which is a spatio-temporal reconstruction computed from all available images and video footage. The resulting 4D reconstruction gives investigators an intuitive overview of all camera locations and their viewing directions. It provides investigators the ability to view the original video or image footage at any specific point in time. Combined with an innovative 4D interface, our resulting 4D reconstruction enables investigators to view a crime scene in a way that is similar to watching a video where one can freely navigate in space and time. Furthermore, our approach augments the scene with automatic detections and their trajectories and enrich the crime scene with annotations serving as clues.

: http://publica.fraunhofer.de/documents/N-595834.html