Effective assisted living environments must be able to perform inferences on how their occupants interact with one another as well as with surrounding objects. To accomplish this goal using a vision-based automated approach, multiple tasks such as pose estimation, object segmentation and gaze estimation must be addressed. Paper written by four authors, including two Marquette University authors: Philipe A. Dias (Marquette University EECE Graduate student, USA), Dr. Henry Medeiros (Marquette University Asst. Professor) See the paper here:
Paper published at WACV 2019 (Winter Conference on Applications of Computer Vision) to introduce FreeLabel, an intuitive open-source web interface that allows users to obtain high-quality segmentation masks, with just a few freehand scribbles, in a matter of seconds. Among four authors were two Marquette University authors: Philipe A. Dias (EECE graduate student) and Dr. Henry Medeiros (EECE Asst. Professor). https://ieeexplore.ieee.org/document/8659167
The Milwaukee BizTimes published a story about the robotic vision research being carried out in the lab. Check out the story here.
Watch Prof. Richard Radke from RPI give a talk on Human-Scale Occupant-Aware Environments at Marquette University.