Share Email Print
cover

Proceedings Paper

Removing nuisance in tracklet data
Author(s): Natalia Shepeleva; Thomas Hoch; Lukas Fischer; Werner Kloihofer; Bernhard Moser
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this article, the problem of the lack of robustness and reliability of surveillance systems through disturbing security irrelevant events such as tree shaking, birds flying, etc. is tackled. A novel scene analysis approach based on hypergraph-based trajectories is introduced for reducing the rate of false positives. The conception of hypergraph-based trajectories relaxes the notion of point-based trajectories by allowing multiple incidences between subsequent points in time. This allows a principled approach for the extraction of robust features based on bounding boxes resulting from existing 3rd party detection methods. The experimental part is based on data collected from single-view camera systems over a two-year non-stop recording in the frame of the Austrian KIRAS project SKIN1 on protecting critical infrastructure. The results show substantial reduction of irrelevant false alarms, hence improving the overall system’s performance.

Paper Details

Date Published: 8 October 2018
PDF: 11 pages
Proc. SPIE 10802, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies II, 108020S (8 October 2018); doi: 10.1117/12.2325636
Show Author Affiliations
Natalia Shepeleva, Software Competence Ctr. Hagenberg GmbH (Austria)
Thomas Hoch, Software Competence Ctr. Hagenberg GmbH (Austria)
Lukas Fischer, Software Competence Ctr. Hagenberg GmbH (Austria)
Werner Kloihofer, PKE Holding AG (Austria)
Bernhard Moser, Software Competence Ctr. Hagenberg GmbH (Austria)


Published in SPIE Proceedings Vol. 10802:
Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies II
Henri Bouma; Radhakrishna Prabhu; Robert James Stokes; Yitzhak Yitzhaky, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray