Motion estimation of glass eels by differential methods
International audience In computer vision and image processing, motion estimation is of increasing interest because of the large number of applications: object tracking (military, video-surveillance, robotics), complex behavioral analysis (modeling of human body motions, meteorology), medical analys...
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ftccsdartic:oai:HAL:hal-02618130v1 2023-05-15T13:28:16+02:00 Motion estimation of glass eels by differential methods Eldrogi, Nawal Luthon, Franck Larroque, Benoit Alqaddafi, Sultan Bolliet, Valérie Université de Pau et des Pays de l'Adour (UPPA) Federation de Recherches Milieux et Ressources Aquatiques Partenaires INRAE Laboratoire des Sciences de l'Ingénieur Appliquées à la Mécanique et au génie Electrique (SIAME) Omar Almukhtar University Ecologie Comportementale et Biologie des Populations de Poissons (ECOBIOP) Institut National de la Recherche Agronomique (INRA)-Université de Pau et des Pays de l'Adour (UPPA) 2018 https://hal.inrae.fr/hal-02618130 en eng HAL CCSD hal-02618130 https://hal.inrae.fr/hal-02618130 PRODINRA: 453272 International Science and Technology Journal https://hal.inrae.fr/hal-02618130 International Science and Technology Journal, 2018, pp.299-315 glass eel motion analysis differential method tracking swimming behavior fish [SDE.BE]Environmental Sciences/Biodiversity and Ecology info:eu-repo/semantics/article Journal articles 2018 ftccsdartic 2021-02-07T00:13:12Z International audience In computer vision and image processing, motion estimation is of increasing interest because of the large number of applications: object tracking (military, video-surveillance, robotics), complex behavioral analysis (modeling of human body motions, meteorology), medical analysis (cardiac contraction follow-up, infarction detection) [1][2]. In biology, tracking the motion of animals sometimes poses technical problems, related to the characteristics of species and stages of development. For example, the European glass eel(Anguilla anguilla) has a complex life cycle, with reproduction in the sea of Sargasso, a larval phase that crosses the Atlantic Ocean and a juvenile stage, the glass eel, which goes up the estuaries to grow in the river [3]. To study the estuarine migration of glass eel, it is possible to reproduce the tidal currents in the laboratory and observe the swimming behavior of individuals [4]. The major difficulties concern the animal itself, which is transparent, and moves mainly at night or at very low light intensity. To follow glass eels, each individual is tagged with VIE Tag (Visible Implant Elastomer) [4]. This marking consists in implanting under the skin a tip of colored elastomer, visible under UV. Tracking individuals is done on video recordings but it is a tedious job because currently not automated. The parameters that interest biologists are mainly the motion direction of glass eels (with or against the current) and their velocity. Any measure to assess energy expenditure is also sought, as glass eels do not eat during migration, and their energy status could play an important role in the migration potential. In this work, we have chosen differential methods for their many advantages. These methods are at first robust and precise, while being easy to implement. Because of its differential nature, the optical flow equation also allows a sub-pixellic estimation of the motion [5,6]. The advantages of these methods are: firstly, robustness and precision, the equation ... Article in Journal/Newspaper Anguilla anguilla Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
glass eel motion analysis differential method tracking swimming behavior fish [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
spellingShingle |
glass eel motion analysis differential method tracking swimming behavior fish [SDE.BE]Environmental Sciences/Biodiversity and Ecology Eldrogi, Nawal Luthon, Franck Larroque, Benoit Alqaddafi, Sultan Bolliet, Valérie Motion estimation of glass eels by differential methods |
topic_facet |
glass eel motion analysis differential method tracking swimming behavior fish [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
description |
International audience In computer vision and image processing, motion estimation is of increasing interest because of the large number of applications: object tracking (military, video-surveillance, robotics), complex behavioral analysis (modeling of human body motions, meteorology), medical analysis (cardiac contraction follow-up, infarction detection) [1][2]. In biology, tracking the motion of animals sometimes poses technical problems, related to the characteristics of species and stages of development. For example, the European glass eel(Anguilla anguilla) has a complex life cycle, with reproduction in the sea of Sargasso, a larval phase that crosses the Atlantic Ocean and a juvenile stage, the glass eel, which goes up the estuaries to grow in the river [3]. To study the estuarine migration of glass eel, it is possible to reproduce the tidal currents in the laboratory and observe the swimming behavior of individuals [4]. The major difficulties concern the animal itself, which is transparent, and moves mainly at night or at very low light intensity. To follow glass eels, each individual is tagged with VIE Tag (Visible Implant Elastomer) [4]. This marking consists in implanting under the skin a tip of colored elastomer, visible under UV. Tracking individuals is done on video recordings but it is a tedious job because currently not automated. The parameters that interest biologists are mainly the motion direction of glass eels (with or against the current) and their velocity. Any measure to assess energy expenditure is also sought, as glass eels do not eat during migration, and their energy status could play an important role in the migration potential. In this work, we have chosen differential methods for their many advantages. These methods are at first robust and precise, while being easy to implement. Because of its differential nature, the optical flow equation also allows a sub-pixellic estimation of the motion [5,6]. The advantages of these methods are: firstly, robustness and precision, the equation ... |
author2 |
Université de Pau et des Pays de l'Adour (UPPA) Federation de Recherches Milieux et Ressources Aquatiques Partenaires INRAE Laboratoire des Sciences de l'Ingénieur Appliquées à la Mécanique et au génie Electrique (SIAME) Omar Almukhtar University Ecologie Comportementale et Biologie des Populations de Poissons (ECOBIOP) Institut National de la Recherche Agronomique (INRA)-Université de Pau et des Pays de l'Adour (UPPA) |
format |
Article in Journal/Newspaper |
author |
Eldrogi, Nawal Luthon, Franck Larroque, Benoit Alqaddafi, Sultan Bolliet, Valérie |
author_facet |
Eldrogi, Nawal Luthon, Franck Larroque, Benoit Alqaddafi, Sultan Bolliet, Valérie |
author_sort |
Eldrogi, Nawal |
title |
Motion estimation of glass eels by differential methods |
title_short |
Motion estimation of glass eels by differential methods |
title_full |
Motion estimation of glass eels by differential methods |
title_fullStr |
Motion estimation of glass eels by differential methods |
title_full_unstemmed |
Motion estimation of glass eels by differential methods |
title_sort |
motion estimation of glass eels by differential methods |
publisher |
HAL CCSD |
publishDate |
2018 |
url |
https://hal.inrae.fr/hal-02618130 |
genre |
Anguilla anguilla |
genre_facet |
Anguilla anguilla |
op_source |
International Science and Technology Journal https://hal.inrae.fr/hal-02618130 International Science and Technology Journal, 2018, pp.299-315 |
op_relation |
hal-02618130 https://hal.inrae.fr/hal-02618130 PRODINRA: 453272 |
_version_ |
1766403140668620800 |