Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-00196-3_53
Title: Motion Strategies for People Tracking in Cluttered and Dynamic Environments
Authors: Bandyopadhyay, T.
Hsu, D. 
Ang Jr., M.H.
Issue Date: 2009
Source: Bandyopadhyay, T.,Hsu, D.,Ang Jr., M.H. (2009). Motion Strategies for People Tracking in Cluttered and Dynamic Environments. Springer Tracts in Advanced Robotics 54 : 463-472. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-00196-3_53
Abstract: The key contribution of this work is the construction of a robot tracking system that follows an unpredictable target (e.g people) in cluttered, unknown and dynamic environments. To do so, mobility constraints, sensor limitations, and uncertainty have been addressed at both the algorithmic and implementation levels. The work formulates target tracking as minimizing an objective function that models the risk of the target's escape and derives this risk function from basic principles. Various practical hardware limitations - e.g., sensor's field of view, safe navigation - are taken into account either as part of the risk function or as constraints during risk minimization. The resulting tracker demonstrates substantially improved performance, compared with other local online strategies. The tracker was able to track a person walking around in indoor office environments as well as in a highly dynamic and public environment like the school cafeteria successfully.
Source Title: Springer Tracts in Advanced Robotics
URI: http://scholarbank.nus.edu.sg/handle/10635/78242
ISBN: 9783642001956
ISSN: 16107438
DOI: 10.1007/978-3-642-00196-3_53
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

2
checked on Feb 21, 2018

Page view(s)

25
checked on Feb 24, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.