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Multiview Pedestrian Localisation via a Prime Candidate Chart

Abstract: 

A sound way to localize occluded people is to project the foregrounds from multiple camera views to a reference view by homographies and find the foreground intersections. However, this may give rise to phantoms due to foreground intersections from different people. In this paper, each intersection region is warped back to the original camera view and is associated with a candidate box of the average pedestrians’ size at that location. Then a joint occupancy likelihood is calculated for each intersection region. In the second step, essential candidate boxes are identified first, each of which covers at least a part of the foreground that is not covered by another candidate box. The non-essential candidate boxes are selected to cover the remaining foregrounds in the order of the joint occupancy likelihoods. Experiments on benchmark video datasets have demonstrated the good performance of our algorithm in comparison with other state-of-the-art methods.

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Paper Details

Authors:
Ming Xu, Jeremy S. Smith
Submitted On:
15 September 2017 - 12:23am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Yuyao Yan
Paper Code:
3263
Document Year:
2017
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Document Files

Multiview Pedestrian Localisation via a Prime Candidate Chart_v8.pdf

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[1] Ming Xu, Jeremy S. Smith, "Multiview Pedestrian Localisation via a Prime Candidate Chart", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2077. Accessed: Jul. 20, 2019.
@article{2077-17,
url = {http://sigport.org/2077},
author = {Ming Xu; Jeremy S. Smith },
publisher = {IEEE SigPort},
title = {Multiview Pedestrian Localisation via a Prime Candidate Chart},
year = {2017} }
TY - EJOUR
T1 - Multiview Pedestrian Localisation via a Prime Candidate Chart
AU - Ming Xu; Jeremy S. Smith
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2077
ER -
Ming Xu, Jeremy S. Smith. (2017). Multiview Pedestrian Localisation via a Prime Candidate Chart. IEEE SigPort. http://sigport.org/2077
Ming Xu, Jeremy S. Smith, 2017. Multiview Pedestrian Localisation via a Prime Candidate Chart. Available at: http://sigport.org/2077.
Ming Xu, Jeremy S. Smith. (2017). "Multiview Pedestrian Localisation via a Prime Candidate Chart." Web.
1. Ming Xu, Jeremy S. Smith. Multiview Pedestrian Localisation via a Prime Candidate Chart [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2077