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Car park occupancy analysis using UAV images

Version 2 2024-06-04, 00:11
Version 1 2019-06-28, 14:13
conference contribution
posted on 2024-06-04, 00:11 authored by H Zhou, Lei WeiLei Wei, M Fielding, Douglas CreightonDouglas Creighton, S Deshpande, S Nahavandi
With the development of unmanned aerial vehicles (UAVs) and the relevant techniques, UAVs become common and popular for civilian applications such as remote sensing tasks. The reason is because they are cheap, flexible, and easy to set up. Car park occupancy analysis is important for authorities to make decisions on the design, plan and management of car parks. To have a quick knowledge of current parking situations, we proposed to use UAV images to count how many cars are parked during different periods. In this paper, our major contribution is a novel car counting approach for UAV images. Different from traditional detection- or segmentation-based counting techniques, the proposed counting method is density estimation based that does not need intense collection and learning procedures. We transform the car counting problem into the estimation of density values over pixels of an image. Experimental results have been conducted on real car park scenarios and all the results show that our method can provide a promising estimation of car numbers.

History

Volume

2017-December

Pagination

3261-3265

Location

Banff, Alberta

Start date

2017-10-05

End date

2017-10-08

ISSN

1062-922X

ISBN-13

9781538616451

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2017, IEEE

Title of proceedings

SMC 2017 : Proceedings of IEEE International Conference on Systems, Man, and Cybernetics

Event

SMC IEE Systems, Man and Cybernetics. International Conference (2017 : Banff, Alberta)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Place of publication

Piscataway, N.J.