DocumentCode :
1796247
Title :
A Biologically Inspired Facilitation Mechanism Enhances the Detection and Pursuit of Targets of Varying Contrast
Author :
Bagheri, Zahra M. ; Wiederman, Steven D. ; Cazzolato, Benjamin S. ; Grainger, Steven ; O´Carroll, David C.
Author_Institution :
Univ. of Adelaide, Adelaide, SA, Australia
fYear :
2014
fDate :
25-27 Nov. 2014
Firstpage :
1
Lastpage :
5
Abstract :
Many species of flying insects detect and chase prey or conspecifics within a visually cluttered surround, e.g. for predation, territorial or mating behavior. We modeled such detection and pursuit for small moving targets, and tested it within a closed-loop, virtual reality flight arena. Our model is inspired directly by electrophysiological recordings from ´small target motion detector´ (STMD) neurons in the insect brain that are likely to underlie this behavioral task. The front-end uses a variant of a biologically inspired ´elementary´ small target motion detector (ESTMD), elaborated to detect targets in natural scenes of both contrast polarities (i.e. both dark and light targets). We also include an additional model for the recently identified physiological ´facilitation´ mechanism believed to form the basis for selective attention in insect STMDs, and quantify the improvement this provides for pursuit success and target discriminability over a range of target contrasts.
Keywords :
object detection; target tracking; ESTMD; electrophysiological recordings; elementary small target motion detector; physiological facilitation mechanism; selective attention; target tracking; Biological system modeling; Insects; Mathematical model; Optical filters; Solid modeling; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital lmage Computing: Techniques and Applications (DlCTA), 2014 International Conference on
Conference_Location :
Wollongong, NSW
Type :
conf
DOI :
10.1109/DICTA.2014.7008082
Filename :
7008082
Link To Document :
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