TY - GEN
T1 - Development of a biologically inspired real-time visual attention system
AU - Stasse, Olivier
AU - Kuniyoshi, Yasuo
AU - Cheng, Gordon
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2000.
PY - 2000
Y1 - 2000
N2 - The aim of this paper is to present our attempt in creating a visual system for a humanoid robot, which can intervene in non-specific tasks in real-time. Due to the generic aspects of our goal, our models are based around human architecture. Such approaches have usually been contradictory, with the efficient implementation of real systems and its demanding computational cost. We show that by using PredN1, a system for developing distributed real-time robotic applications, we are able to build a real-time scalable visual attention system. It is easy to change the structure of the system, or the hardware in order to investigate new models. In our presentation, we will also present our system with a number of human visual attributes, such as: log-polar retino-cortical mapping, banks of oriented filters providing a generic signature of any object in an image. Additionally, a visual attention mechanism -a psychophysical model -FeatureGate, is used in eliciting a fixation point. The system runs at frame rate, allowing interaction of same time scale as humans.
AB - The aim of this paper is to present our attempt in creating a visual system for a humanoid robot, which can intervene in non-specific tasks in real-time. Due to the generic aspects of our goal, our models are based around human architecture. Such approaches have usually been contradictory, with the efficient implementation of real systems and its demanding computational cost. We show that by using PredN1, a system for developing distributed real-time robotic applications, we are able to build a real-time scalable visual attention system. It is easy to change the structure of the system, or the hardware in order to investigate new models. In our presentation, we will also present our system with a number of human visual attributes, such as: log-polar retino-cortical mapping, banks of oriented filters providing a generic signature of any object in an image. Additionally, a visual attention mechanism -a psychophysical model -FeatureGate, is used in eliciting a fixation point. The system runs at frame rate, allowing interaction of same time scale as humans.
UR - http://www.scopus.com/inward/record.url?scp=84958523839&partnerID=8YFLogxK
U2 - 10.1007/3-540-45482-9_15
DO - 10.1007/3-540-45482-9_15
M3 - Conference contribution
AN - SCOPUS:84958523839
SN - 3540675604
SN - 9783540675600
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 150
EP - 159
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Poggio, Tomaso
A2 - Lee, Seong-Whan
A2 - Bulthoff, Heinrich H.
PB - Springer Verlag
T2 - 1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000
Y2 - 15 May 2000 through 17 May 2000
ER -