NDLI: Generalised vertical projection histograms using multi-plane homology

Content Provider	IET Digital Library
Author	Yan, Yuyao Xu, Ming Smith, Jeremy S.
Abstract	Vertical projection histograms are an efficient shape representation for 2D binary silhouettes and have been widely used in pedestrian localisation for video surveillance. The weakness of this method is that it is not invariant to rotation. In this Letter, a generalised vertical projection histogram is proposed to solve this problem, in which the homology transformations of the foreground silhouettes, for a set of parallel planes, are warped to, and accumulated, in the original foreground map. Then a method, similar to the vertical projection histogram, is carried out to localise the pedestrians in the foreground silhouettes. The algorithm applies an integrated approach using both image projection and geometric projection. Its value is demonstrated in a case study on pedestrian localisation with cast shadows.
Starting Page	593
Ending Page	595
Page Count	3
ISSN	00135194
Volume Number	55
e-ISSN	1350911X
Issue Number	Issue 10, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/55/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2018.6516
Journal	Electronics Letters
Publisher Date	2019-04-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	2D Binary Silhouettes Computer Vision And Image Processing Technique Efficient Shape Representation Feature Extraction Foreground Silhouettes Generalised Vertical Projection Histogram Geometric Projection Image Classification Image Motion Analysis Image Projection Image Recognition Image Representation Image Segmentation Image Sequence Multiplane Homology Object Detection Pedestrian Pedestrian Localisation Shape Recognition Video Signal Processing Video Surveillance
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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