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Open AccessArticle

Employing Shadows for Multi-Person Tracking Based on a Single RGB-D Camera

1
School of Software, Shandong University, Jinan 250101, China
2
School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China
3
Engineering Research Center of Digital Media Technology, MOE, Jinan 250101, China
4
Department of Computer Science 110 Frelinghuysen Road Rutgers, The State University of New Jersey, Piscataway, NJ 08854-8019, USA
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(4), 1056; https://doi.org/10.3390/s20041056
Received: 31 December 2019 / Revised: 9 February 2020 / Accepted: 13 February 2020 / Published: 15 February 2020
Although there are many algorithms to track people that are walking, existing methods mostly fail to cope with occluded bodies in the setting of multi-person tracking with one camera. In this paper, we propose a method to use people’s shadows as a clue to track them instead of treating shadows as mere noise. We introduce a novel method to track multiple people by fusing shadow data from the RGB image with skeleton data, both of which are captured by a single RGB Depth (RGB-D) camera. Skeletal tracking provides the positions of people that can be captured directly, while their shadows are used to track them when they are no longer visible. Our experiments confirm that this method can efficiently handle full occlusions. It thus has substantial value in resolving the occlusion problem in multi-person tracking, even with other kinds of cameras. View Full-Text
Keywords: multi-person tracking; RGB-D camera; shadow; occlusion multi-person tracking; RGB-D camera; shadow; occlusion
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Gai, W.; Qi, M.; Ma, M.; Wang, L.; Yang, C.; Liu, J.; Bian, Y.; de Melo, G.; Liu, S.; Meng, X. Employing Shadows for Multi-Person Tracking Based on a Single RGB-D Camera. Sensors 2020, 20, 1056.

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