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Tracking People across Multiple Non-overlapping RGB-D Sensors
AbstractThis work presents the development of a surveillance system for monitoring wide area indoor spaces using multiple Kinect c devices. The data from these sensors, configured with the widest possible coverage, is integrated into a single coordinate system using a novel calibration technique for non-overlapping range sensors. Moving 3D pixels from each Kinect are transformed into a "plan view" map of activity where the detection and tracking of people is executed. The detection of people is a two step process; data binning and non maxima suppression. The tracking of people is based on the mean-shift algorithm optimized with the prediction step of the Kalman Filter.
Related Material
[pdf][bibtex]@InProceedings{Almazan_2013_CVPR_Workshops,
author = {Almazan, Emilio J. and Jones, Graeme A.},
title = {Tracking People across Multiple Non-overlapping RGB-D Sensors},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2013}
}
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