Title:
Understanding Egocentric Activities
Understanding Egocentric Activities
Authors
Fathi, Alireza
Farhadi, Ali
Rehg, James M.
Farhadi, Ali
Rehg, James M.
Authors
Person
Advisors
Advisors
Associated Organizations
Organizational Unit
Series
Collections
Supplementary to
Permanent Link
Abstract
We present a method to analyze daily activities, such
as meal preparation, using video from an egocentric camera.
Our method performs inference about activities, actions,
hands, and objects. Daily activities are a challenging
domain for activity recognition which are well-suited to an
egocentric approach. In contrast to previous activity recognition
methods, our approach does not require pre-trained
detectors for objects and hands. Instead we demonstrate
the ability to learn a hierarchical model of an activity by
exploiting the consistent appearance of objects, hands, and
actions that results from the egocentric context. We show
that joint modeling of activities, actions, and objects leads
to superior performance in comparison to the case where
they are considered independently. We introduce a novel
representation of actions based on object-hand interactions
and experimentally demonstrate the superior performance
of our representation in comparison to standard activity
representations such as bag of words.
Sponsor
Date Issued
2011-11
Extent
Resource Type
Text
Resource Subtype
Post-print
Proceedings
Proceedings