Feature conjunctions in visual search

Authors:
Antonio J. Rodríguez-Sánchez;Evgueni Simine;John K. Tsotsos
Affiliations:
Dept. of Computer Science & Engineering, and Centre for Vision Research, York University, Toronto, Canada;Dept. of Computer Science & Engineering, and Centre for Vision Research, York University, Toronto, Canada;Dept. of Computer Science & Engineering, and Centre for Vision Research, York University, Toronto, Canada
Venue:
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Year:
2006

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Abstract

Selective Tuning (ST) [1] presents a framework for modeling attention and in this paper we show how it performs in visual search tasks. Two types of tasks are presented, a motion search task and an object search task. Both tasks are successfully tested with different feature and conjunction visual searches.