Publication Type : Conference Paper
Publisher : MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services
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
Keywords : Computer vision, flood monitoring, General publics, High resolution camera, Human lives, Preventive measures, Remedial measures
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Year : 2017
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).
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.