Airborne Based High Performance Crowd Monitoring for Security Applications View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2013

AUTHORS

Roland Perko , Thomas Schnabel , Gerald Fritz , Alexander Almer , Lucas Paletta

ABSTRACT

Crowd monitoring in mass events is a highly important technology to support the security of attending persons. Proposed methods based on terrestrial or airborne image/video data often fail in achieving sufficiently accurate results to guarantee a robust service. We present a novel framework for estimating human density and motion from video data based on custom tailored object detection techniques, a regression based density estimate and a total variation based optical flow extraction. From the gathered features we present a detailed accuracy analysis versus ground truth information. In addition, all information is projected into world coordinates to enable a direct integration with existing geo-information systems. The resulting human counts demonstrate a mean error of 4% to 9% and thus represent a most efficient measure that can be robustly applied in security critical services. More... »

PAGES

664-674

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-38886-6_62

DOI

http://dx.doi.org/10.1007/978-3-642-38886-6_62

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1031361840


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