CIFASIS   20631
CENTRO INTERNACIONAL FRANCO ARGENTINO DE CIENCIAS DE LA INFORMACION Y DE SISTEMAS
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Bio-inspired speed detection and discrimination
Autor/es:
M. CERDA, L. TERISSI AND B. GIRAU.
Lugar:
Avignon, France
Reunión:
Conferencia; 4th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS 2009); 2009
Resumen:
In the field of computer vision, a crucial task is the detection of
motion (also called optical flow extraction). This operation allows
analysis such as 3D reconstruction, feature tracking, time-to-collision
and novelty detection among others. Most of the optical flow extraction
techniques work within a finite range of speeds. Usually, the range of
detection is extended towards higher speeds by combining some
multi-scale information in a serial architecture. This serial
multi-scale approach suffers some problems of error propagation related
with the number of scales used in the algorithm. On the other hand,
biological experiments show that human motion perception seems to
follow a parallel multi-scale scheme. In this work we present a
bio-inspired parallel architecture to perform detection of motion,
providing a wide range of operation and avoiding error propagation
associated with the serial architecture. To test our algorithm, we
perform relative error comparisons between both classical and proposed
techniques, showing that the parallel architecture is able to achieve
motion detection with results similar to the serial approach.