DocumentCode :
3315190
Title :
Biomimetic Motion Detection
Author :
Brinkworth, Russell SA ; Carroll, David C O
Author_Institution :
Univ. of Adelaide, Adelaide
fYear :
2007
fDate :
3-6 Dec. 2007
Firstpage :
137
Lastpage :
142
Abstract :
We present the results of a biomimetic model of motion detection in the insect visual system based on an elaborated correlational elementary motion detector. This model incorporates a number of elements known, or predicted, to be in the insect motion processing pathway. The results show that this model greatly diminishes velocity ambiguity across images from different environments. Due to the nature of the algorithms underlying the model it lends itself to implementation in either digital or analogue hardware including neuromorphic analogue VLSI. The successful application of this algorithm has applications in the development of miniature autonomous systems in defence and civilian roles, including robotics, miniature unmanned aerial vehicles and collision avoidance sensors.
Keywords :
VLSI; biomimetics; cognition; collision avoidance; remotely operated vehicles; robot vision; visual perception; biomimetic model; biomimetic motion detection; collision avoidance sensors; elaborated correlational elementary motion detector; insect motion processing; insect visual system; miniature autonomous systems; miniature unmanned aerial vehicles; neuromorphic analogue VLSI; robotics; Biomimetics; Detectors; Hardware; Insects; Motion detection; Neuromorphics; Predictive models; Robot sensing systems; Very large scale integration; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information, 2007. ISSNIP 2007. 3rd International Conference on
Conference_Location :
Melbourne, Qld.
Print_ISBN :
978-1-4244-1501-4
Electronic_ISBN :
978-1-4244-1502-1
Type :
conf
DOI :
10.1109/ISSNIP.2007.4496833
Filename :
4496833
Link To Document :
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