Browsing Institutt for teknisk kybernetikk by Author "Schellewald, Christian"
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Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform
Lien, Andreas Myskja; Schellewald, Christian; Stahl, Annette; Frank, Kevin; Skøien, Kristoffer Rist; Tjølsen, Jan Inge (Journal article; Peer reviewed, 2019)Within this paper we describe an unmanned aerial vehicle (UAV) based method to estimate the spatial feed pellet distribution in salmon fish-cages and exploit it within a case study to determine the radial pellet distribution ... -
Developing a deep learning pipeline for automated salmon welfare analysis by respiration frequency
Høgstedt, Espen Berntzen (Master thesis, 2023)Lakseoppdrett blir stadig viktigere i den globale næringskjeden, noe som nødvendiggjør en dyp forståelse av hvordan interne tilstander i laks som påvirker dennes velferd og økonomiske verdi manifesterer seg gjennom ytre ... -
Development of an Algorithm for Non-Invasive Identification of Salmon Individuals, Using Images from Underwater Video Recordings
Brovoll, Ingeborg Flatin (Master thesis, 2020) -
Hole Detection in Aquaculture Net Cages from Video Footage
Madshaven, Arild; Schellewald, Christian; Stahl, Annette (Peer reviewed; Journal article, 2021)Frequent inspection of salmon cage integrity is essential to early detect and prevent the possible escape of farmed salmon—minimizing the risk of any negative impact for the remaining wild stock of salmon. Current ... -
Identification of spectral signature for in situ real-time monitoring of smoltification
Svendsen, Eirik; Volent, Zsolt; Schellewald, Christian; Tsarau, Andrei; Bjorgan, Asgeir; Venås, Birger; Bloecher, Nina; Bondø, Morten Steen; Føre, Martin; Jónsdóttir, Kristbjörg Edda; Stefansson, Sigurd Olav (Peer reviewed; Journal article, 2021)We describe the use of an optical hyperspectral sensing technique to identify the smoltification status of Atlantic salmon (Salmo salar) based on spectral signatures, thus potentially providing smolt producers with an ... -
Irregularity Detection in Net Pens Exploiting Computer Vision
Schellewald, Christian; Stahl, Annette (Peer reviewed; Journal article, 2022)Protecting the remaining wild salmon stock in Norway is of utmost importance and requires that farmed salmon cannot escape from aquaculture sites. As holes in net-cages are responsible for a large fraction of the escaped ... -
Motion Trajectory Estimation of Salmon Using Stereo Vision
Nygård, Trym Anthonsen; Jahren, Jan Henrik; Schellewald, Christian; Stahl, Annette (Peer reviewed; Journal article, 2022)A main concern for the aquaculture industry is the fish behaviour and welfare. Motion trajectory analysis of salmon at aquaculture farming sites with respect to certain aquaculture operations aims to provide information ... -
Precision fish farming: A new framework to improve production in aquaculture
Føre, Martin; Frank, Kevin; Norton, Tomas; Svendsen, Eirik; Alfredsen, Jo Arve; Dempster, Timothy David; Eguiraun, Harkaitz; Watson, Win; Stahl, Annette; Sunde, Leif Magne; Schellewald, Christian; Skøien, Kristoffer Rist; Alver, Morten; Berckmans, Daniel (Journal article; Peer reviewed, 2017)Aquaculture production of finfish has seen rapid growth in production volume and economic yield over the last decades, and is today a key provider of seafood. As the scale of production increases, so does the likelihood ... -
Robust Fish Cage Hole Detection in Challenging Environments - Rethinking Spatiotemporal Deep Learning and Advanced Computer Vision Techniques
Madshaven, Arild (Master thesis, 2021)I 2019 alene ble nesten 300.000 atlanterhavslaks rapportert rømt fra norske oppdrettsanlegg. Dette antallet tilsvarer over halve den gjenværende villaksbestanden. En vanlig fluktrute går gjennom hull i nota, og regelmessig ... -
Saliency based methods for camera orientation in aquaculture
Harr, Magnus Conrad (Master thesis, 2018)This thesis looks into the applicability of visual saliency as a basis for autonomous camera orientation. Autonomous re-orientation is expected to be a key component in future computer vision-based monitoring systems: a ... -
Sub-pixel accuracy for motion, size and pose estimation of salmon from underwater stereo imaging
Nygård, Trym Anthonsen (Master thesis, 2022)I havbruksnæringen har det blitt mer populært å benytte seg av datasyn som et resultat av et stadig økende fokus på mindre ingripende observasjonsmetoder. Oppdrettere kan i dag benytte seg av høykvalitets kameraer for å ... -
Unsupervised Learning of Motion Patterns for Object Classification in Aquaculture
Karlstad, Øyvind Rognerud (Master thesis, 2018)In recent years, computer vision has been used in increasing amounts in aqua culture and will be essential for the development of automated solutions for fish farming. In this thesis we study the possibility of using ... -
Vision-based pose estimation for autonomous operations in aquacultural fish farms
Schellewald, Christian; Stahl, Annette; Kelasidi, Eleni (Peer reviewed; Journal article, 2021)There is a largely increasing demand for the usage of Unmanned Underwater Vehicles (UUVs) including Remotely Operated Vehicles (ROVs) for underwater aquaculture operations thereby minimizing the risks for diving accidents ... -
Visual Egomotion Estimation In Aquacultural Fish Cages
Libjå, Lars Olav (Master thesis, 2022)Sanntidsestimering av posisjon er en teknologi vi i dag er godt vant med. Systemer som GPS har gitt oss muligheter til å kunne finne posisjonen vår raskt og enkelt. Men det er ikke alle steder vi kan være avhengige av slike ...