Aarhus University Seal / Aarhus Universitets segl

Hosted event

Symposium on image-based techniques in species detection and identification

2018.11.02 | AIAS

Date Thu 08 Nov
Time 09:30 16:00
Location The AIAS Auditorium, Building 1632, Høegh-Guldbergs Gade 6B, 8000 Aarhus C

Image data is increasingly being used to record organisms with greater temporal and spatial resolution than would be possible by direct observation. While it has long been recognized that images represent a useful way to record information for a wide range of purposes, the application of tools to automatically derive relevant information from such images are not widely used. The rapid developments in computer science and software engineering is holding the promise of a transformation of the use of images to store and automatically extract information across a wide range of research disciplines. The aim of this symposium is to bring together experts at Aarhus University and beyond to raise awareness of the potential of machine learning in image analyses for detection of biological organisms in order to develop synergy between groups and disciplines.


Programme

09.30-10.00 Coffee and rolls

10.00-12.10 Welcome by Toke Thomas Høye

Computer vision and machine learning for object detection
Alexandros Iosifidis, Department of Engineering, Aarhus University

Advanced computational and statistical techniques for biomonitoring and aquatic ecosystem service management
Jenni Raitoharju and Johanna Ärje, Technical University Tampere, Finland

Automation of sorting and identification of arthropod samples using robots
Thomas Lyhne and Kristoffer Fink Løwenstein, AU Engineering, Aarhus University

Using beetle specimens of known identity to quantify sources of uncertainty in image-based identification
Oskar LP Hansen, Department of Bioscience, Aarhus University

Studying plant-pollinator interactions one flower at a time
Toke Thomas Høye, Department of Bioscience, Aarhus University

Arctic insect detection
Johanna Ärje, Technical University Tampere, Finland

12.10-13.00 lunch 

13.00-14.00

Detection of seals from aerial thermal and RGB imagery
Eric Jürgen Haase, Department of Bioscience, Aarhus University

Detection of birds from orthophotos - off shore transect flights
Ib Kragh Petersen, Department of Bioscience, Aarhus University

Detection of demographic parameters from time lapse images – cliff nesting birds
Flemming Merkel, Department of Bioscience, Aarhus University

14.00-14.30 coffee

14.30-16.00

Honey bee monitoring
Yoko Dupont, Department of Bioscience, Aarhus University

A computer vision system to monitor the infestation level of Varroa destructor in a honey bee colony
Kim Bjerge, AU Engineering, Aarhus University

Application of vision based machine learning algorithms within the agricultural domain and the challenges of knowledge transfer to commercial partners
Mads Dyrmann and Søren Skovsen, Department of Engineering, Aarhus University

Discussion


Participation

Participation is free of charge, but please sign up by Monday 5 November to help plan catering by sending an e-mail to Toke Thomas Høye (tth@bios.au.dk). 


Organizer

Toke Thomas Høye, Senior Researcher, AIAS Former Fellow

Department of Bioscience
Arctic Research Centre
Aarhus University
tth@bios.au.dk

Workshop