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Perceiving Action in Space-Time: Computational and Human Perspectives

Jason Corso


Associate Professor
University of Michigan, Department of Electrical Engineering & Computer Science
 
Friday, October 24, 2014
12:30pm - 1:30pm
1311EECS

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EECS 500 SEMINAR

About the Event

Humans are highly articulated, which leads to complex and idiosyncratic actions in space-time. This complexity has challenged computational models of human action for some time now, and yet humans themselves are highly adept at parsing action. In this talk, I will motivate the challenge of interpreting human action from spatial, temporal, and spatiotemporal points of view. Then, I will present both computational and human perspectives on modeling action. First, I will describe how video can be decomposed into a multilevel semantic scale-space using a Markov approximation framework. Within this semantic scale-space, we have conducted a visual psychophysical study of how humans perceive action, and I will report our findings in that study. Second, I will present a computational model for human action. The method, called Action Bank, creates a high-level action space that is spanned by individual space-time actions. Query videos are projected into this action space and non-linear classifiers are learned for recognition. Experiments demonstrate how space-time, action-specific modeling can outperform conventional feature-based methods that do not leverage space-time continuity. Third, I will bring these two perspectives together in a "full-circle" experiment leveraging ideas from both camps. Time-permitting, I will relate these findings to other work in my group in computational neuroscience and cognitive robotics.

Additional Information

Contact: Ann Pace

Phone: 763-5022

Email: am

Sponsor(s): University of Michigan, Department of Electrical Engineering & Computer Science

Open to: Public