Local and global information information
in animate motion patterns
Dr. Nikolaus F. Troje
Animate motion patterns are a rich source
of biologically significant information. They quickly and reliably
signal the presence of an animate agent and convey its identity,
actions and intentions. Observing other people in motion, our
visual system is able to retrieve information about sex, age
and weight of a person and can even detect signatures that identify
a familiar individual. The relevant information is encoded on
different levels in the motion patterns ranging from purely local
motion information to complex global correlation patterns.
In my talk I will present empirical and computational data
from two different studies. In the first, we investigated the
nature of the general saliency of biological motion. Based
on findings from experiments designed to explore the cause
of the inversion effect in biological motion, we propose a
simple, yet reliable and fast sensory filter that can detect
the presence of a living animal in the visual environment.
The proposed mechanism is based on local motion trajectories
and does not require any form processing.
On the other hand, I will present a computational framework
that explores the complex correlation pattern of a moving body
to retrieve information about a person’s sex and other
attributes that define his or her identity. It is based on
a morphable representation of human walking data which in turn
makes it possible to formulate linear classifiers for the attributes
of interest. Results on sex classification obtained from our
model are being compared to behavioural data and the relevance
of our framework as a model for visual information processing
in the human brain will be discussed.