Joint operator detection and tracking for person following from mobile platforms

Abstract

In this paper, we propose an integrated system to detect and track a single operator that can switch off and on when it leaves and (re-)enters the scene. Our method is based on a set-valued Bayes-optimal state estimator that integrates RGB-D detections and image-based classification to improve tracking results in severe clutter and under long-term occlusion… (More)
DOI: 10.23919/ICIF.2017.8009746

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Cite this paper

@article{Wojke2017JointOD, title={Joint operator detection and tracking for person following from mobile platforms}, author={Nicolai Wojke and Raphael Memmesheimer and Dietrich Paulus}, journal={2017 20th International Conference on Information Fusion (Fusion)}, year={2017}, pages={1-8} }