MSc (Tech) Katariina Mahkonen successfully defended her PhD thesis
"Efficient and Robust Methods for Audio and Video Signal Analysis".
Mahkonen PhD thesis:
Link.
The thesis develops novel efficient and effective event detection
methods for video and audio data. The particular novelty is a
new algorithm to make a fast decision cascade using Boolean
combinations of available detectors.
The opponents in the thesis examination committee were Professor
Vesa Valimaki and Dr. Jorma Laaksonen from
Aalto University, Finland.
2017-07-17
The goal of the FishView project was to make fishes happier by making
sure that their swimming pathways are suitable for them.
The bio-inspired lateral line sensor and developed methods are used to
measure real fish passages.
The FishView project ended and public version of its final dissemination
report is available:
The project was funded by the Academy of Finland and EU Horizon 2020 BONUS
program and project participants were from three Baltic Sea countries: Finland, Estonia and Germany. The project results are now further developed in
several recently launched projects and technology transfer to final products
for biologists is under progress.
The main scientific results can be found from the following
scientific articles:
Estimation of Flow Turbulence Metrics With a Lateral Line Probe and Regression (K. Chen, J.A. Tuhtan, J.F. Fuentes-Perez, G. Toming, M. Musall, N. Strokina, J.-K. Kamarainen and M. Kruusmaa), In IEEE Transactions on Instrumentation and Measurements, volume 66, 2017.
DOI: http://dx.doi.org/10.1109/TIM.2017.2658278
Joint Estimation of bulk flow velocity and angle using a lateral line probe (N. Strokina, J.-K. Kämäräinen, J.A. Tuhtan, J.F. Fuentes-Pérez, M. Kruusmaa), In IEEE Transactions on Instrumentation and Measurements, volume 65, 2016. DOI: http://dx.doi.org/10.1109/TIM.2015.2499019
Design and application of a fish-shaped lateral line probe for flow measurement (J. Tuhtan, J.F. Fuentes-Perez, N. Strokina, G. Toming, M. Musall, M. Noack, J.-K. Kämäräinen, M. Kruusmaa), In Review of Scientific Instruments, volume 87, 2016. DOI: http://dx.doi.org/10.1063/1.4946765
Flow feature extraction for underwater robot localization: preliminary results (N. Muhammad, N. Strokina, G. Toming, J.A. Tuhtan, J.-K. Kamarainen and M. Kruusmaa), In IEEE Int. Conf. on Robotics and Automation (ICRA), 2015, Seattle (WA), USA
Dr. Nataliya Strokina was granted highly prestigious
Academy of Finland post-doc funding for the next three years!
Dr. Nataliya Strokina worked 2014-2017 in
the EU and Academy of Finland funded FishView project.
Dr. Nataliya Strokina received highly competitive Academy of
Finland post-doc funding for the years 2017-2020. In her post-doc
project she will investigate robotics, computer vision and machine
learning and, in particular, underwater robotics with advanced
underwater sensors. In her work, Dr. Strokina will combine the two current
hot topics of engineering robotics and artificial intelligence.
In addition to her own research, Dr. Strokina will also supervise junior
researchers and collaborate with robotics research groups in TUT and
abroad. An important collaborator during the
project is the
Center of Biorobotics, Tallinn University of
Technology, lead by Prof. Maarja Kruusmaa who also was the
director of the FishView project.
Nataliya Strokina received the M.Sc. degrees in software engineering
and intelligent computing from Saint Petersburg Electrotechnical University,
Saint Petersburg, Russia, Russian Federation and Lappeenranta University of
Technology, Lappeenranta, Finland, correspondingly in 2009, and the Ph.D.
degree in engineering and technology from the Lappeenranta University of
Technology in 2013. Since 2014, she has held a post-doctoral researcher
position with the Tampere University of Technology, Tampere, Finland. Her
current research interests include machine learning, image understanding,
and signal processing methods for underwater
robotics.
2016-11-23
360-degree Video Intelligence project started as collaboration between
TUT and local hightech companies. Departments
of Pervasive Computing and Signal Processing will develop novel computer
vision and video transmission methods and platforms for the new
360-degree video devices and virtual reality.
Nokia OZO records 360-degree video and audio that will be the future of
media and broadcasting.
Tekes (Finnish Funding Agency for Innovation) provided funding for large
"360-Degree Video Intelligence - For Research Benefit" project that combines
local companies from Tampere (Nokia Technologies, Lynx Technology,
JJ-Net, BigHill Companies and Leonidas) and Tampere University of
Technology to develop novel technology for the emerging field of
360-degree video broadcasting and enhanced virtual reality.
"Once you have experience 360-degree video there is no return to the
traditional video anymore - this technology will reshape the future."
says Professor Joni Kamarainen from Department of Signal Processing.
"This project will combine top knowledge and technology from TUT
and companies to create new 360-degree video ecosystem - we're
happy to be part of it and in this project TUT is riding on
the cutting edge of ICT." continues
Professor Tommi Mikkonen from Department of Pervasive Computing.
For more information:
The TUT-RIM (Robotics and Intelligent Machines) Flagship project
carried out as a cooperation of participating departments
a full size demonstration of an autonomous
collaborative robot work site.
The flagship project united forces of the four departments active in heavy industrial machines, robotics and robot perception.
The flagship project united forces of the four departments active in
heavy industrial machines, robotics and robot perception.
In 2015 Tampere University of Technology boosted its
strategic profile area, Robotics and Intelligent Machines
(TUT-RIM) by a Flagship Project that combines
research groups from the Departments of
Intelligent Hydraulics and Automation, Mechanical Engineering
and Industrial Systems, Signal Processing, and Automation Science
and Engineering. The profile area received significant support
from the Academy of Finland and proactively TUT allocated
internal funding on the project that would solve a complex robot
collaboration problem: an autonomous outdoor work site.
The 2016 demonstration is available as a video in
Youtube:
https://www.youtube.com/watch?v=4DBQ2pW45Wk
The Flagship research continues as Academy of Finland funded
TUT-RIM post-docs, tenure tracks being currently employed, as
collaborative projects initiated by the Flagship teams, and as
internally funded activities. The scientific results of the
work will be published in robotics conferences and journals.
For more information about the project and participants, see the project Web
page: http://vision.cs.tut.fi/projects/fishview/index.html.
2016-06-14
The FishView project develops a bio-inspired sensor mimicking fish lateral line measure lakes, rivers and human-made fish passages similar to fishes. The goal of the project is to make fishes happier!
The FishView sensor and project researchers making measurements at a fish passage
Academy of Finland and EU (Horizon 2020) BONUS program funded the FishView project where researchers from three countries develop a novel underwater sensor and signal processing methods to analyze underwater environment from the "fish view". The sensor structure is inspired by the biological lateral line sensor of fishes that allow them to swim economically, tax and sense other fishes and enemies in their proximity. Lateral line provides a kind of "3D view of flows".
The ultimate goal of the project is to develop a field tool for biologists and hydro engineers to inspect natural and human-made fish passages. Making better fish passages e.g. for hydrodynamic plants we can support Baltic Sea fishes natural behaviour.
The artificial lateral line probe was developed in the Centre of Biorobotics, Tallinn University of Technology, Estonia, the signal processing methods in Department of Signal Processing, Tampere University of Technology, Finland, and laboratory and field measurements made by the SJE Ecohydraulic Engineering company from Germany.
The results of the research has been recently published in scientific journals:
Joint Estimation of bulk flow velocity and angle using a lateral line probe (N. Strokina, J.-K. Kämäräinen, J.A. Tuhtan, J.F. Fuentes-Pérez, M. Kruusmaa), In IEEE Transactions on Instrumentation and Measurements, volume 65, 2016. DOI: http://dx.doi.org/10.1109/TIM.2015.2499019
Design and application of a fish-shaped lateral line probe for flow measurement (J. Tuhtan, J.F. Fuentes-Perez, N. Strokina, G. Toming, M. Musall, M. Noack, J.-K. Kämäräinen, M. Kruusmaa), In Review of Scientific Instruments, volume 87, 2016. DOI: http://dx.doi.org/10.1063/1.4946765
Congratulations to Ke "Cory" Chen who received the highly prestigious
Academy of Finland post-doc funding for the next three years!
Happy Ke "Cory" Chen on the right and on the left
Alexandros Iosifidis who also got the funding for the Multimedia
Group.
The competition of the Academy of Finland post-doc positions is extremely
hard, but still two of the positions were granted to the Department of Signal
Processing, Tampere University of Technology: Ke "Cory" Chen (Vision Group)
and Alexandros Iosifidis (Big Data and Machine Learning Group). The both
post-doc projects are related to the current hot topics of computer
vision and machine learning with applications in robotics.
Cory's research topic is analysis of large image and video collections with
the aim of "visual google" type understanding of visual information from
small fine-grained and subtle details to semantic classes such as "car"
and "motorbike".
The both post-docs actively supervise junior researchers and establish and
maintain collaboration between members of various teams in the Department of
Signal Processing. Their aim is to achive breakthroughs in computer vision
and image and video analysis!
2016-04-12
Vision group participates in a large strategic research project
related to robotics in welfare service sector and funded by
the Academy of Finland for 2015-2021.
At the end of 2015 a large strategic research project -
Robots and the Future of Welfare Services (ROSE) - funded
by the Academy of Finland started. In this project the Vision
Group will develop novel robot vision systems that will be
used in welfare robotics, in particular, for senior
citizens.
Academy of Finland Strategic Funding
is for highly prestigious and ambitious multi-disciplinary
research projects that are important for the future of
Finland. Robotics was identified as one of the key future
technologies and, in particular, in welfare and healthcare.
ROSE Project Web Page
The project partners:
The new FiDiPro Professor Jiri Matas joined the Department of Signal
Processing in the project kickoff meeting.
During the FiDiPro kickoff meeting Jan 27 - Jan 30 Professor Matas
met his first PhD students, members of the project group including the
funding agency Tekes and participating companies, and gave presentations
of his research interests.
Tekes FiDiPro program provides funding for the top international
professors joining Finnish research teams.
Associate Professor Joni Kamarainen: "During the kickoff meeting
it became obvious that we have strong mutual interests between Professor
Matas, us,
University of Oulu (Prof. Janne Heikkilä) and participating
companies. We already had very intense discussion on science and
various state-of-the-art research topics. This project and
collaboration will certainly boost research in Tampere and Oulu!"
The project partners:
