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Underwater human body detection using computer vision algorithms
Izmir Katip Celebi Universitesi, TUR.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.ORCID-id: 0000-0001-7536-3349
2018 (Engelska)Ingår i: 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Institute of Electrical and Electronics Engineers Inc. , 2018, s. 1-4Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The number of studies to ensure the security when life-threatening unexpected events are encountered increases. Increasing of time spent under the water can cause the death of people. Thus, people who are in a risk of suffocation in the water must be found for early intervention and this process must be quick. The main contribution of this study is to detect and to track the people under the water quickly. Thresholding, Background Subtraction, Interframe Difference and Foreground Detection methods have been applied to create the silhouette of the people under the water. These methods have been demonstrated on videos which are found from internet. © 2018 IEEE.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers Inc. , 2018. s. 1-4
Nyckelord [en]
Computer vision, Human detection, Image processing, Electrical engineering, Signal processing, Background subtraction, Computer vision algorithms, Early intervention, Foreground detection, Human body detections, Inter-frame differences, Unexpected events
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:bth-16919DOI: 10.1109/SIU.2018.8404305Scopus ID: 2-s2.0-85050803229ISBN: 9781538615010 (tryckt)OAI: oai:DiVA.org:bth-16919DiVA, id: diva2:1240313
Konferens
26th IEEE Signal Processing and Communications Applications Conference, SIU, Altin Yunus Resort ve Thermal HotelIzmir; Turkey
Tillgänglig från: 2018-08-21 Skapad: 2018-08-21 Senast uppdaterad: 2018-08-21Bibliografiskt granskad

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Kusetogullari, Hüseyin

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