NDLI: Automatic available seat counting in public rail transport using wavelets

Content Provider	IEEE Xplore Digital Library
Author	De Potter, P. Kypraios, I. Verstockt, S. Poppe, C. Van de Walle, R.
Copyright Year	2011
Description	Author affiliation: Department of Electronics and Information Systems, Multimedia Lab, Ghent University - IBBT, Gaston Crommenlaan 8, bus 201, B-9050 Ledeberg-Ghent, Belgium (De Potter, P.; Verstockt, S.; Poppe, C.; Van de Walle, R.) \|\| School of Engineering and Design, University of Sussex, Falmer Brighton, BN1 9QT, United Kingdom (Kypraios, I.)
Abstract	Previously, we introduced an available seat counting algorithm in public rail transport. The main disadvantage of that algorithm is that it lacks automatic event detection. In this paper, we implement two automatic wavelet-based available seat counting algorithms. The new algorithms employ the spatial-domain Laplacian-of-Gaussian-based wavelet, and the frequency-domain Non-Linear Difference of Gaussians-based wavelet bandpass video scene filter for both extracting illumination invariant scene features and, then, combine them efficiently into the background reference frame. Manual segmentation of the scene into rectangles and tiles for detecting an object as seated is no longer needed as we apply now a boundary box tracker on the segmented moving objects' blobs. We test all the algorithms with different video sequences in passengers' train coaches, and compare the previous approach with the two new automatic wavelet-based available seat counting algorithms, and an additional spatial-domain automatic non-wavelet based Simple Mixture of Gaussian Models.
Starting Page	79
Ending Page	83
File Size	1337159
Page Count	5
File Format	PDF
ISBN	9781612849492
ISSN	13342630
e-ISBN	9789537044121
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-14
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	ELMAR (Electronics in Marines)
Subject Keyword	Illumination invariant Video analytics Event detection Image edge detection Video sequences Simple Mixture of Gaussians Frequency domain analysis Automatic passengers' seats counting Wavelets Frequency and spatial domain Lighting Cameras Approximation algorithms Non-Linear Difference of Gaussians Laplacian-of-Gaussian Kernel
Content Type	Text
Resource Type	Article

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