Automated Video Surveillance for the Study of Marine Mammal Behavior and Cognition
Systems for detecting and tracking social marine mammals, including dolphins, can provide data to help explain their social dynamics, predict their behavior, and measure the impact of human interference. Data collected from video surveillance methods can be consistently and systematically sampled fo...
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Animal Behavior and Cognition
2016-11-01
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Online Access: | http://www.animalbehaviorandcognition.org/uploads/journals/13/05.Nov2016-Karnowski%20et%20al_HH(6)-final%20proof.pdf |
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doaj-f2bd582887d0437f9e9874284e55a8092020-11-24T21:22:50ZengAnimal Behavior and CognitionAnimal Behavior and Cognition2372-50522372-43232016-11-013425526410.12966/abc.05.11.2016Automated Video Surveillance for the Study of Marine Mammal Behavior and CognitionJeremy KarnowskiChristine JohnsonEdwin HutchinsSystems for detecting and tracking social marine mammals, including dolphins, can provide data to help explain their social dynamics, predict their behavior, and measure the impact of human interference. Data collected from video surveillance methods can be consistently and systematically sampled for studies of behavior, and frame-by-frame analyses can uncover insights impossible to observe from real-time, freely occurring natural behavior. Advances in boat-based, aerial, and underwater recording platforms provide opportunities to document the behavior of marine mammals and create massive datasets. The use of human experts to detect, track, identify individuals, and recognize activity in video demands significant time and financial investment. This paper examines automated methods designed to analyze large video corpora containing marine mammals. While research is converging on best solutions for some automated tasks, particularly detection and classification, many research domains are ripe for exploration.http://www.animalbehaviorandcognition.org/uploads/journals/13/05.Nov2016-Karnowski%20et%20al_HH(6)-final%20proof.pdfDolphinsVideo dataAutomated detectionUnmanned aerial vehicles |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jeremy Karnowski Christine Johnson Edwin Hutchins |
spellingShingle |
Jeremy Karnowski Christine Johnson Edwin Hutchins Automated Video Surveillance for the Study of Marine Mammal Behavior and Cognition Animal Behavior and Cognition Dolphins Video data Automated detection Unmanned aerial vehicles |
author_facet |
Jeremy Karnowski Christine Johnson Edwin Hutchins |
author_sort |
Jeremy Karnowski |
title |
Automated Video Surveillance for the Study of Marine Mammal Behavior and Cognition |
title_short |
Automated Video Surveillance for the Study of Marine Mammal Behavior and Cognition |
title_full |
Automated Video Surveillance for the Study of Marine Mammal Behavior and Cognition |
title_fullStr |
Automated Video Surveillance for the Study of Marine Mammal Behavior and Cognition |
title_full_unstemmed |
Automated Video Surveillance for the Study of Marine Mammal Behavior and Cognition |
title_sort |
automated video surveillance for the study of marine mammal behavior and cognition |
publisher |
Animal Behavior and Cognition |
series |
Animal Behavior and Cognition |
issn |
2372-5052 2372-4323 |
publishDate |
2016-11-01 |
description |
Systems for detecting and tracking social marine mammals, including dolphins, can provide data to help explain their social dynamics, predict their behavior, and measure the impact of human interference. Data collected from video surveillance methods can be consistently and systematically sampled for studies of behavior, and frame-by-frame analyses can uncover insights impossible to observe from real-time, freely occurring natural behavior. Advances in boat-based, aerial, and underwater recording platforms provide opportunities to document the behavior of marine mammals and create massive datasets. The use of human experts to detect, track, identify individuals, and recognize activity in video demands significant time and financial investment. This paper examines automated methods designed to analyze large video corpora containing marine mammals. While research is converging on best solutions for some automated tasks, particularly detection and classification, many research domains are ripe for exploration. |
topic |
Dolphins Video data Automated detection Unmanned aerial vehicles |
url |
http://www.animalbehaviorandcognition.org/uploads/journals/13/05.Nov2016-Karnowski%20et%20al_HH(6)-final%20proof.pdf |
work_keys_str_mv |
AT jeremykarnowski automatedvideosurveillanceforthestudyofmarinemammalbehaviorandcognition AT christinejohnson automatedvideosurveillanceforthestudyofmarinemammalbehaviorandcognition AT edwinhutchins automatedvideosurveillanceforthestudyofmarinemammalbehaviorandcognition |
_version_ |
1725994522976976896 |