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A GAUSSIAN PROCESS BASED MULTI-PERSON INTERACTION MODEL

Published in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences • Jun 3, 2016
NobleIDNI9P44W77R37S74
Authors:
T. Klinger
,
Franz Rottensteiner
,
Christian Heipke

Abstract

Online multi-person tracking in image sequences is commonly guided by recursive filters, whose predictive models define the expected positions of future states. When a predictive model deviates too much from the true motion of a pedestrian, which is often the case in crowded scenes due to unpredicte...

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