Title: Real-time Accurate Pedestrian Detection and Tracking in Challenging Surveillance Videos
Authors: Van Beeck, Kristof ×
Goedemé, Toon #
Issue Date: Mar-2015
Publisher: Scitepress
Host Document: Proceedings of the 10th International Conference on Computer Vision Theory And Applications (on cd-rom) vol:3 pages:325-334
Conference: International Conference on Computer Vision Theory and Applications edition:10 location:Berlin, Germany date:11-14 March 2015
Abstract: This paper proposes a novel approach for real-time robust pedestrian tracking in surveillance images. Such images are challenging to analyse since the overall image quality is low (e.g. low resolution and high compression). Furthermore often birds-eye viewpoint wide-angle lenses are used to achieve maximum coverage with a minimal amount of cameras. These specific viewpoints make it difficult - or even unfeasible - to directly apply existing pedestrian detection techniques. Moreover, real-time processing speeds are required. To overcome these problems we introduce a pedestrian detection and tracking framework which exploits and integrates these scene constraints to achieve excellent accuracy results. We performed extensive experiments on challenging real-life video sequences concerning both speed and accuracy. We show that our approach achieves excellent accuracy results while still meeting the stringent real-time demands needed for these surveillance applications, using only a single-core CPU implementation.
ISBN: 9789897580918
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Electrical Engineering (ESAT) TC, Technology Campus De Nayer Sint-Katelijne-Waver
Technologiecluster ESAT Elektrotechnische Engineering
× corresponding author
# (joint) last author

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