Computer Science Department
McGregory Hall, 3rd Floor
13 Oak Drive
Hamilton, NY 13346
Start: Tuesday, February 21, 2017, 11:30 a.m.
End: Tuesday, February 21, 2017, 12:20 p.m.
Location: 319 McGregory Hall
Speaker: Christopher King, Class Of 2018
Even after decades of vision research, interaction between user and computer hasn't been perfected. But a wave is simple, but that has difficulties in itself. My research aims to understand the difficulty of this problem and develop an environment to test any hypotheses I develop with my mentor, Elodie Fourquet, such as applying known body proportions to intuitively understand the body.
Using the temporal and spatial coherences in mapping body proportions as specified by Vitruvius, we found that if the human body can be found within certain parameters, not only can we track it, but we can predict where the body went when its out of focus and categorize anyone in frame based on how they vary from the Vitruvian body ratio. Our implementation detects extrema from a moving silhouette based on skin color and motion, and gathers relevant information to build a personal model given the silhouettes in frame.