Talks and Poster Presentations (with Proceedings-Entry):

L. Oliva, A. Saggese, N. Artner, W. Kropatsch, M. vento:
"From trajectories to behaviors: an algorithm to track and describe dancing birds";
Talk: 22nd Computer Vision Winter Workshop 2017, Retz; 2017-02-06 - 2017-02-08; in: "Proceedings of the 22nd Computer Vision Winter Workshop 2017", (2017), ISBN: 978-3-200-04969-7; 9 pages.

English abstract:
The movement of the males in some
species of birds during the courtship determines the
probability to be chosen by the female for mating.
In order to analyze the behaviors of the birds, bi-
ologists nowadays perform a manual annotation of
videos displaying the courtship phase. This a tedious
and time consuming task. Thus, there is a strong in-
terest in the development of algorithms able to au-
tomatically process these videos in order to analyze
the behaviors. In this paper, we propose a novel ap-
proach able to track the movement of the males of a
particular species of birds, namely the Golden Col-
lared Manakin. Furthermore, we describe their mat-
ing dance by means of synthetic parameters, which
are useful for the biologist. Both the tracking and
the parameters used for describing the dance could
be easily re-adapted to similar types of birds. The
proposed approach has been tested on a set of videos
from the biologists and the obtained results confirm
the effectiveness of the proposed approach.

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.