Biomimetic motion detection
| dc.contributor.author | Brinkworth, R. | |
| dc.contributor.author | O'Carroll, D. | |
| dc.contributor.conference | Intelligent Sensors, Sensor Networks & Information (3rd : 2007 : Melbourne, Australia) | |
| dc.contributor.editor | Palaniswami, M. | |
| dc.contributor.editor | Marusic, M. | |
| dc.contributor.editor | Law, Y.W. | |
| dc.date.issued | 2007 | |
| dc.description.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. © 2007 IEEE. | |
| dc.identifier.citation | Proceedings of the 2007 Intelligent Sensors, Sensor Networks & Information Processing Conference:pp.137-142 | |
| dc.identifier.doi | 10.1109/ISSNIP.2007.4496833 | |
| dc.identifier.isbn | 9781424415014 | |
| dc.identifier.orcid | O'Carroll, D. [0000-0002-2352-4320] | |
| dc.identifier.uri | http://hdl.handle.net/2440/46015 | |
| dc.language.iso | en | |
| dc.publisher | IEEE | |
| dc.publisher.place | USA | |
| dc.source.uri | https://doi.org/10.1109/issnip.2007.4496833 | |
| dc.title | Biomimetic motion detection | |
| dc.type | Conference paper | |
| pubs.publication-status | Published |