CIVIT Tech Day: Motion Deconstructed on YouTube
You can find all the presentations from the CIVIT Technology Day: Motion Deconstructed now on YouTube. The event was organized at Tampere University on Friday 26 April 2019.
Presentations and Speakers
Tell Me How You Look and I'll Tell You How You Move
Human body shape and motion estimation are two sides of the same coin. To be able to fully understand human motion from monocular imagery, we need to understand the shapes of the tracked subjects, too. In my talk, I will motivate why we need better shapes for better tracking. I will demonstrate how 3D bodys helped us to understand human motion better and where these models find their limits. If we want to learn rich models of human shape, motion, and dynamics, we require new approaches that learn from ubiquitous data such as plain RGB-images and video. I continue with discussing recent advances in personalized body shape estimation from monocular video, from a few frames, and even from a single image. We developed effective methods to learn detailed avatars without the need for expensive scanning equipment. These methods are easy to use and enable various VR and AR applications. I will conclude my talk by outlining the next challenges in human shape reconstruction and how this potentially affects human motion estimation.
Kinematics of Music-Induced Movement
Music is commonly regarded as being primarily an auditory phenomenon, and the bulk of research on music perception focuses exclusively on this sensory modality. Only recently have the multimodal aspects of music processing gained significant attention. In addition to the auditory, other sensory modalities such as visual, tactile, and proprioceptive, play a significant role in the processing of musical information. A common feature of the latter modalities is that they rely on corporeal movement.
Examples of the important role of movement in music are abundant. For instance, in most cultures music is associated with dance. Furthermore, we tend to move while listening to music, in particular when the music has a clear pulse. Additionally, corporeal movement is important for the interaction and communication between musicians, helping to maintain synchronization and convey expressive intentions. Lastly, movement is an important ingredient in social interaction associated with music listening. Music can thus be regarded as a fundamentally spatiotemporal phenomenon.
In my talk I will review work on music-induced movement carried out at our lab. Specific topics include kinematics of synchronization to musical beat, influence of musical content and personality on music-induced movement as well as kinematics of movement interaction in spontaneous dance.
Motion Capture with Optitrack: A live tutorial
The Role of Gyroscopes in Motion Sensing
Motion sensing for excavators
Digitalization and automation are changing in the field of earthmoving industry. Novatron has been developing machine control systems for mobile machinery for over 25 years. With Novatron’s machine control systems we can track the excavators movements and visualize them together with Buildin Information Models (BIM). I will talk about the benefits this brings to our customers and how it is done. I will also present a glimpse into the future of machine control.
Antti Kolu graduated with MSc (Tech) in Automation and Information Technology from Tampere University of Technology 2010. He continued as a Researcher and Doctoral student at the department of Automation and Hydraulic Engineering (AUT) where his research concentrated on surround sensing, object detection and path planning for intelligent mobile work machines. Has taken part in many academic and industry driven projects. In 2018 he started to work at Novatron as a Motion Planning Scientist where he develops new innovations and world leading solutions for earthmoving automation.