Publication Type:

Conference Paper

Source:

MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services, Association for Computing Machinery, Inc, p.165 (2017)

ISBN:

9781450349284

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026230183&doi=10.1145%2f3081333.3089309&partnerID=40&md5=596440585ab2b995f25dd90e940ab64d

Keywords:

Computer vision, flood monitoring, General publics, High resolution camera, Human lives, Preventive measures, Remedial measures

Abstract:

Urban oods have become a constant threat to human life and property. Also, high resolution cameras in smart phones have become ubiquitous. This work involves using Computer Vision [1] [2] algorithms to estimate the depth of ooding based on images taken by the general public which are geo-tagged and time-stamped. This approach will help in the implementation of effective and timely urban ood relief and management. This data can also be used to assess the effectiveness of preventive measures taken in the past and to plan remedial measures in the future. © 2017 Copyright held by the owner/author(s).

Notes:

cited By ; Conference of 15th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2017 ; Conference Date: 19 June 2017 Through 23 June 2017; Conference Code:128363

Cite this Research Publication

B. B. Nair and Rao, S. N., “Poster: Flood monitoring using Computer Vision”, in MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services, 2017, p. 165.

207
PROGRAMS
OFFERED
6
AMRITA
CAMPUSES
15
CONSTITUENT
SCHOOLS
A
GRADE BY
NAAC, MHRD
8th
RANK(INDIA):
NIRF 2018
150+
INTERNATIONAL
PARTNERS