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Sensors 2016, 16(1), 62; doi:10.3390/s16010062

Pedestrian Counting with Occlusion Handling Using Stereo Thermal Cameras

Visual Analysis of People Lab, Aalborg University, Rendsburggade 14, 9000 Aalborg, Denmark
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Academic Editor: Vittorio M.N. Passaro
Received: 17 September 2015 / Revised: 18 December 2015 / Accepted: 19 December 2015 / Published: 5 January 2016
(This article belongs to the Section Physical Sensors)
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Abstract

The number of pedestrians walking the streets or gathered in public spaces is a valuable piece of information for shop owners, city governments, event organizers and many others. However, automatic counting that takes place day and night is challenging due to changing lighting conditions and the complexity of scenes with many people occluding one another. To address these challenges, this paper introduces the use of a stereo thermal camera setup for pedestrian counting. We investigate the reconstruction of 3D points in a pedestrian street with two thermal cameras and propose an algorithm for pedestrian counting based on clustering and tracking of the 3D point clouds. The method is tested on two five-minute video sequences captured at a public event with a moderate density of pedestrians and heavy occlusions. The counting performance is compared to the manually annotated ground truth and shows success rates of 95.4% and 99.1% for the two sequences. View Full-Text
Keywords: computer vision; pedestrian counting; occlusion; thermal; infrared; stereo; 3D reconstruction; point cloud; tracking computer vision; pedestrian counting; occlusion; thermal; infrared; stereo; 3D reconstruction; point cloud; tracking
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Kristoffersen, M.S.; Dueholm, J.V.; Gade, R.; Moeslund, T.B. Pedestrian Counting with Occlusion Handling Using Stereo Thermal Cameras. Sensors 2016, 16, 62.

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