We present a method to segment dynamic objects from high-resolution low-rate laser scans. Data points are tagged as static or dynamic based on the classification of pixel
data from registered imagery. Per-pixel background classes are adapted online as Gaussian mixtures, and their matching 3D
points are classified accordingly. Special attention is paid to the correct calibration and synchronization of the scanner with the
the accessory camera. Results of the method are shown for a small indoor sequence with several people following arbitrarily
CitationOrtega, A.A.; Andrade-Cetto, J. Segmentation of dynamic objects from laser data. A: European Conference on Mobile Robots. "ECMR 5th European Conference on Mobile Robots". Örebro: 2011, p. 115-121.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder. If you wish to make any use of the work not provided for in the law, please contact: firstname.lastname@example.org