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2016 | OriginalPaper | Chapter

Real-Time Detection and Tracking of Multiple Humans from High Bird’s-Eye Views in the Visual and Infrared Spectrum

Authors : Julius Kümmerle, Timo Hinzmann, Anurag Sai Vempati, Roland Siegwart

Published in: Advances in Visual Computing

Publisher: Springer International Publishing

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Abstract

We propose a real-time system to detect and track multiple humans from high bird’s-eye views. First, we present a fast pipeline to detect humans observed from large distances by efficiently fusing information from a visual and infrared spectrum camera. The main contribution of our work is a new tracking approach. Its novelty lies in online learning of an objectness model which is used for updating a Kalman filter. We show that an adaptive objectness model outperforms a fixed model. Our system achieves a mean tracking loop time of 0.8 ms per human on a 2 GHz CPU which makes real time tracking of multiple humans possible.

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Metadata
Title
Real-Time Detection and Tracking of Multiple Humans from High Bird’s-Eye Views in the Visual and Infrared Spectrum
Authors
Julius Kümmerle
Timo Hinzmann
Anurag Sai Vempati
Roland Siegwart
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-50835-1_49

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