elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Leave a trace - A people tracking system meets anomaly detection

Ruess, Dominik and Amplianitis, Konstantinos and Deckers, Niklas and Adduci, Michele and Manthey, Kristian and Reulke, Ralf (2017) Leave a trace - A people tracking system meets anomaly detection. The International Journal of Multimedia & Its Applications (IJMA), 9 (3). ISSN 0975-5934

Full text not available from this repository.

Abstract

Video surveillance always had a negative connotation, among others because of the loss of privacy and because it may not automatically increase public safety. If it was able to detect atypical (i.e. dangerous) situations in real time, autonomously and anonymously, this could change. A prerequisite for this is a reliable automatic detection of possibly dangerous situations from video data. This is done classically by object extraction and tracking. From the derived trajectories, we then want to determine dangerous situations by detecting atypical trajectories. However, due to ethical considerations it is better to develop such a system on data without people being threatened or even harmed, plus with having them know that there is such a tracking system installed. Another important point is that these situations do not occur very often in real, public CCTV areas and may be captured properly even less. In the artistic project leave a trace the tracked objects, people in an atrium of a institutional building, become actor and thus part of the installation. Visualisation in real-time allows interaction by these actors, which in turn creates many atypical interaction situations on which we can develop our situation detection. The data set has evolved over three years and hence, is huge. In this article we describe the tracking system and several approaches for the detection of atypical trajectories.

Item URL in elib:https://elib.dlr.de/116875/
Document Type:Article
Title:Leave a trace - A people tracking system meets anomaly detection
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ruess, DominikHumboldt Universität zu BerlinUNSPECIFIED
Amplianitis, KonstantinosHU BerlinUNSPECIFIED
Deckers, NiklasHU BerlinUNSPECIFIED
Adduci, MicheleHU BerlinUNSPECIFIED
Manthey, KristianInstitut für PlanetenforschungUNSPECIFIED
Reulke, RalfInstitut für Optische SensorsystemeUNSPECIFIED
Date:2017
Journal or Publication Title:The International Journal of Multimedia & Its Applications (IJMA)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:9
ISSN:0975-5934
Status:Published
Keywords:Image Processing, Computer Vision, Arts, Tracking, Machine Vision, Imaging Systems
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Optische Technologien und Anwendungen
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Optical Sensor Systems
Deposited By: Dombrowski, Ute
Deposited On:19 Dec 2017 10:03
Last Modified:19 Dec 2017 10:03

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.