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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 5/2018

30.08.2017 | S.I. : Neural Computing in Next Generation Virtual Reality Technology

Multipoint infrared laser-based detection and tracking for people counting

verfasst von: Hefeng Wu, Chengying Gao, Yirui Cui, Ruomei Wang

Erschienen in: Neural Computing and Applications | Ausgabe 5/2018

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Abstract

Laser devices have received increasing attention in numerous computer-aided applications such as automatic control, 3D modeling and virtual reality. In this paper, aiming at people counting, we propose a novel people detection and tracking method based on the multipoint infrared laser, which can further facilitate intelligent scene modeling and analysis. In our method, a camera with the infrared lens filter is utilized to capture the monitored scene where an array of infrared spots is produced by the multipoint infrared laser. We build a spatial background model based on locations of spots. Pedestrians are detected by clustering of foreground spots. Then, our method tracks and counts the detected pedestrians via inferring the forward–backward motion consistency. Both quantitative and qualitative evaluation and comparison are conducted, and the experimental results demonstrate that the proposed method achieves excellent performance in challenging scenarios.
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Metadaten
Titel
Multipoint infrared laser-based detection and tracking for people counting
verfasst von
Hefeng Wu
Chengying Gao
Yirui Cui
Ruomei Wang
Publikationsdatum
30.08.2017
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 5/2018
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-017-3196-0

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