News

2017-05-29

Academy of Finland Post-doc Funding

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

Video 360 Project Started

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:

  • Tommi Mikkonen, Dept. of Pervasive Computing
  • Joni Kamarainen, Dept. of Signal Processing


2016-10-06

TUT-RIM Flagship Project: Worksite Demo 2016

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

New results from the FishView project

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
Links: For more information:
  • Maarja Kruusmaa, Centre for Biorobotics johtaja, Tallinn University of Technology, Estonia
  • Jeffrey Tuhtan, SJE Ecohydraulic Engineering GmbH, Germany
  • Joni Kämäräinen, Signaalinkäsittely, Tampere University of Technology, Finland


2016-05-27

Academy of Finland Post-Doc Funding

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

Robots in Welfare Project Started

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:

  • Aalto University
  • Laurea University of Applied Sciences
  • Lappeenranta University of Technology
  • Tampere University of Technology
  • University of Tampere
  • VTT

For more information contact:

  • Joni Kämäräinen, Tampere university of Technology
  • Ville Kyrki, Aalto University (coordinator)


2016-01-29

FiDiPro Project Kickoff

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:

  • Tampere University of Technology
  • University of Oulu
  • Digile Oy
  • Fingersoft Oy
  • Haltian Oy
  • Intel Finland Oy
  • IntoPalo Oy
  • NOMO Technologies Oy
  • Visy Oy

For more information contact:

  • Joni Kämäräinen, Tampere university of Technology
  • Janne Heikkilä, University of Oulu
  • Jiri Matas, Czech Technical University


2016-01-24

Publicity for live age/gender estimation demo

In the local PR event "Valoa pimeyteen" our age and gender estimation demo received a lot of attention.

The demo demonstrates research interests and teaching topics of Department of Signal Processing. An interview of Heikki Huttunen is available from the local news paper site: Aamulehti - Kuinka hyvin tietokone arvio ihmisen iän.


2015-11-20

TUT Doctoral School Funding

Junsheng Fu received two year funding for his PhD thesis work "Large Scale 3D" from the TUT Doctoral School.

The competition was extremely tough (115 applications and 25 positions) so congratulations Junsheng!


2015-11-18

FiDiPro Professor Jiri Matas joins the Vision Group

Professor Jiri Matas becomes a FiDiPro professor in the Vision Group from Jan 2016 to Dec 2019. He will mentor and supervise senior and junior researchers and collaborate with the local companies.

Tekes FiDiPro program provides funding to recruit top international researchers to Finnish research teams. These researchers, often distinguished professors in their fields, bring scientific expertise and research practices that boost the teams toward the top international level.

The Vision Group of Tampere University of Technology (Dept. of Signal Processing) received funding for a FiDiPro professor and his research team for four years starting January 2016. The project is a consortium project together with the Center for Machine Vision Research (CMV).

FiDiPro Professor Jiri Matas from the Center for Machine Perception, Czech Technical University, has published many pioneering and seminal works of computer vision, has been the program chair of the top international conferences (CVPR, ICCV and ECCV) and is the Associate Editor-in-Chief of the most prestigious journal of computer vision and machine learning (IEEE-PAMI). Moreover, his works have received numerous best paper awards.

Associate Professor Joni Kamarainen: "Professor Matas is a kind of researcher who can leave his permanent mark to any group he visits and who will certainly be remembered. He is creative, ambitious and extremely hard working and demanding, both to his students and colleagues. His impact to our field - measured in the number of citations - matches to the rest of us in the department, so I expect that he will help to lead our scientific topics and research practices toward those of the very best groups in the world. We are privileged!"

This Tekes funded FiDiPro will also benefit the local companies who are project partners:

  • Digile Oy
  • Fingersoft Oy
  • Haltian Oy
  • Intel Finland Oy
  • IntoPalo Oy
  • NOMO Technologies Oy
  • Visy Oy
For more information contact:
  • Joni Kämäräinen, Tampere university of Technology
  • Janne Heikkilä, University of Oulu
  • Jiri Matas, Czech Technical University