Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Kälviäinen, Heikki"'
Autor:
Algasov, Aleksandr, Nepovinnykh, Ekaterina, Eerola, Tuomas, Kälviäinen, Heikki, Stewart, Charles V., Otarashvili, Lasha, Holmberg, Jason A.
Recent advancements in the automatic re-identification of animal individuals from images have opened up new possibilities for studying wildlife through camera traps and citizen science projects. Existing methods leverage distinct and permanent visual
Externí odkaz:
http://arxiv.org/abs/2405.15976
In this work, we focus on a special group of human body language -- the micro-gesture (MG), which differs from the range of ordinary illustrative gestures in that they are not intentional behaviors performed to convey information to others, but rathe
Externí odkaz:
http://arxiv.org/abs/2405.13206
Emotion AI is the ability of computers to understand human emotional states. Existing works have achieved promising progress, but two limitations remain to be solved: 1) Previous studies have been more focused on short sequential video emotion analys
Externí odkaz:
http://arxiv.org/abs/2405.00574
Autor:
Batrakhanov, Daniel, Eerola, Tuomas, Kraft, Kaisa, Haraguchi, Lumi, Lensu, Lasse, Suikkanen, Sanna, Camarena-Gómez, María Teresa, Seppälä, Jukka, Kälviäinen, Heikki
Plankton recognition provides novel possibilities to study various environmental aspects and an interesting real-world context to develop domain adaptation (DA) methods. Different imaging instruments cause domain shift between datasets hampering the
Externí odkaz:
http://arxiv.org/abs/2402.05615
Autor:
Immonen, Veikka, Nepovinnykh, Ekaterina, Eerola, Tuomas, Stewart, Charles V., Kälviäinen, Heikki
Image-based re-identification of animal individuals allows gathering of information such as migration patterns of the animals over time. This, together with large image volumes collected using camera traps and crowdsourcing, opens novel possibilities
Externí odkaz:
http://arxiv.org/abs/2308.06335
Autor:
Eerola, Tuomas, Batrakhanov, Daniel, Barazandeh, Nastaran Vatankhah, Kraft, Kaisa, Haraguchi, Lumi, Lensu, Lasse, Suikkanen, Sanna, Seppälä, Jukka, Tamminen, Timo, Kälviäinen, Heikki
Planktonic organisms are key components of aquatic ecosystems and respond quickly to changes in the environment, therefore their monitoring is vital to understand the changes in the environment. Yet, monitoring plankton at appropriate scales still re
Externí odkaz:
http://arxiv.org/abs/2305.11739
Autor:
Bilik, Simon, Batrakhanov, Daniel, Eerola, Tuomas, Haraguchi, Lumi, Kraft, Kaisa, Wyngaert, Silke Van den, Kangas, Jonna, Sjöqvist, Conny, Madsen, Karin, Lensu, Lasse, Kälviäinen, Heikki, Horak, Karel
Phytoplankton parasites are largely understudied microbial components with a potentially significant ecological impact on phytoplankton bloom dynamics. To better understand their impact, we need improved detection methods to integrate phytoplankton p
Externí odkaz:
http://arxiv.org/abs/2303.08744
We propose a method for Saimaa ringed seal (Pusa hispida saimensis) re-identification. Access to large image volumes through camera trapping and crowdsourcing provides novel possibilities for animal monitoring and conservation and calls for automatic
Externí odkaz:
http://arxiv.org/abs/2206.02498
Autor:
Nepovinnykh, Ekaterina, Eerola, Tuomas, Biard, Vincent, Mutka, Piia, Niemi, Marja, Kälviäinen, Heikki, Kunnasranta, Mervi
Wildlife camera traps and crowd-sourced image material provide novel possibilities to monitor endangered animal species. However, massive image volumes that these methods produce are overwhelming for researchers to go through manually which calls for
Externí odkaz:
http://arxiv.org/abs/2206.02260
In this paper, pelage pattern matching is considered to solve the individual re-identification of the Saimaa ringed seals. Animal re-identification together with the access to large amount of image material through camera traps and crowd-sourcing pro
Externí odkaz:
http://arxiv.org/abs/2105.13979