2016
DOI: 10.1007/978-3-319-29971-6_19
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Pedestrian Detection and Tracking in Challenging Surveillance Videos

Abstract: In this chapter we propose a novel approach for real-time robust pedestrian tracking in surveillance images. Typical surveillance 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 unfeasible to directly apply existing pedestrian detection techniques. Moreover, real-time processing speed… Show more

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Cited by 1 publication
(1 citation statement)
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“…Many different proposed methodologies have been proposed, however, these are not really suited to our needs. These approaches often times make use of the fact that either the camera itself is static [31,33] or uses distinct features of the background, like a street [3]. Some methodologies use features which are prevalent even in top view images, like the head-shoulder shape [34], which may be different due to helmets or carried objects in an construction site environment.…”
Section: Load Viewmentioning
confidence: 99%
“…Many different proposed methodologies have been proposed, however, these are not really suited to our needs. These approaches often times make use of the fact that either the camera itself is static [31,33] or uses distinct features of the background, like a street [3]. Some methodologies use features which are prevalent even in top view images, like the head-shoulder shape [34], which may be different due to helmets or carried objects in an construction site environment.…”
Section: Load Viewmentioning
confidence: 99%