ITEM METADATA RECORD
Title: An adaptable system for RGB-D based human body detection and pose estimation
Authors: Buys, Koen ×
Cagniart, Cedric
Baksheev, Anatoly
De Laet, Tinne
De Schutter, Joris
Pantofaru, Caroline #
Issue Date: Jan-2014
Publisher: Academic Press
Series Title: Journal of Visual Communication and Image Representation vol:25 issue:1 pages:39-52
Abstract: Human body detection and pose estimation is useful for a wide variety of
applications and environments. Therefore a human body detection and pose
estimation system must be adaptable and customizable. This paper presents
such a system that extracts skeletons from RGB-D sensor data. The system
adapts on-line to dicult unstructured scenes taken from a moving camera
(since it does not require background subtraction) and benets from using
both color and depth data. It is customizable by virtue of requiring less
training data, having a clearly described training method, and a customizable
human kinematic model. Results show successful application to data from a
moving camera in cluttered indoor environments. This system is open-source,
encouraging reuse, comparison, and future research
ISSN: 1047-3203
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Production Engineering, Machine Design and Automation (PMA) Section
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy

 




All items in Lirias are protected by copyright, with all rights reserved.

© Web of science