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