Preventing Drowning Accidents Using Thermal Cameras

Publikation: Forskning - peer reviewKonferenceartikel i proceeding

Abstrakt

Every year approximately 372 000 people die from unintentional drowning, causing it to be a top-3 cause to unintentional injury [1]. In Denmark 25% of drownings happen at harbor areas [2]. To address this problem thermal cameras have been placed strategically at a harbor. Using computer vision techniques an automatic surveillance system for predicting and detecting drowning accidents has been implemented. First a person detector has been implemented using simple human characteristics. The person is tracked using a Kalman Filter. Using the tracker as a prior, a fall prediction is determined. A fall detector is implemented using a virtual trip-wire in combination with an optical flow algorithm making the system able to detect 100% of all falls and only yielding a 0.08 false positive rate hourly. The entire system has been developed using 155 h of real life thermal video, hereof 56 h are manually annotated.
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Detaljer

Every year approximately 372 000 people die from unintentional drowning, causing it to be a top-3 cause to unintentional injury [1]. In Denmark 25% of drownings happen at harbor areas [2]. To address this problem thermal cameras have been placed strategically at a harbor. Using computer vision techniques an automatic surveillance system for predicting and detecting drowning accidents has been implemented. First a person detector has been implemented using simple human characteristics. The person is tracked using a Kalman Filter. Using the tracker as a prior, a fall prediction is determined. A fall detector is implemented using a virtual trip-wire in combination with an optical flow algorithm making the system able to detect 100% of all falls and only yielding a 0.08 false positive rate hourly. The entire system has been developed using 155 h of real life thermal video, hereof 56 h are manually annotated.
OriginalsprogEngelsk
TitelAdvances in Visual Computing
RedaktørerGeorge Bebis, Richard Boyle, Bahram Parvin, Darco Koracin, Faith Porikili, Sandra Skaff, Alireza Entezari, Jianjuan Min, Daisuke Iwai, Amela Sadagic, Carlos Scheidegger, Tobias Isenberg
Antal sider12
UdgiverSpringer
Publikationsdato2016
Sider111-122
ISBN (trykt)978-3-319-50831-3
ISBN (elektronisk)978-3-319-50832-0
DOI
StatusUdgivet - 2016
BegivenhedISVC16: 12th International Symposium on Visual Computing - Las Vegas, USA

Konference

KonferenceISVC16: 12th International Symposium on Visual Computing
LokationMonte Carlo Resort & Casino
LandUSA
ByLas Vegas
Periode12/12/201614/12/2016
Internetadresse
SerieLecture Notes in Computer Science
Vol/bind10073
ISSN0302-9743
ID: 246665530