A Motion-Based Feature for Event-Based Pattern Recognition
This paper introduces an event-based luminance-free feature from the output of asynchronous event-based neuromorphic retinas. The feature consists in mapping the distribution of the optical flow along the contours of the moving objects in the visual scene into a matrix. Asynchronous event-based neur...
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| Veröffentlicht in: | Frontiers in neuroscience 2017-01, Vol.10, p.594-594 |
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| creator | Clady, Xavier Maro, Jean-Matthieu Barré, Sébastien Benosman, Ryad B |
| description | This paper introduces an event-based luminance-free feature from the output of asynchronous event-based neuromorphic retinas. The feature consists in mapping the distribution of the optical flow along the contours of the moving objects in the visual scene into a matrix. Asynchronous event-based neuromorphic retinas are composed of autonomous pixels, each of them asynchronously generating "spiking" events that encode relative changes in pixels' illumination at high temporal resolutions. The optical flow is computed at each event, and is integrated locally or globally in a speed and direction coordinate frame based grid, using speed-tuned temporal kernels. The latter ensures that the resulting feature equitably represents the distribution of the normal motion along the current moving edges, whatever their respective dynamics. The usefulness and the generality of the proposed feature are demonstrated in pattern recognition applications: local corner detection and global gesture recognition. |
| doi_str_mv | 10.3389/fnins.2016.00594 |
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Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Attribution</rights><rights>Copyright © 2017 Clady, Maro, Barré and Benosman. 2017 Clady, Maro, Barré and Benosman</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c458t-b82da7c0fc141cb02d16d2dcd65fb298afefc3adf8ea1a9b249a23fd121a17443</citedby><cites>FETCH-LOGICAL-c458t-b82da7c0fc141cb02d16d2dcd65fb298afefc3adf8ea1a9b249a23fd121a17443</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209354/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209354/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28101001$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.sorbonne-universite.fr/hal-01449343$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Clady, Xavier</creatorcontrib><creatorcontrib>Maro, Jean-Matthieu</creatorcontrib><creatorcontrib>Barré, Sébastien</creatorcontrib><creatorcontrib>Benosman, Ryad B</creatorcontrib><title>A Motion-Based Feature for Event-Based Pattern Recognition</title><title>Frontiers in neuroscience</title><addtitle>Front Neurosci</addtitle><description>This paper introduces an event-based luminance-free feature from the output of asynchronous event-based neuromorphic retinas. 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| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; PubMed Central Open Access |
| subjects | Life Sciences Neurons and Cognition Neuroscience Pattern recognition Retina Robotics Sensors |
| title | A Motion-Based Feature for Event-Based Pattern Recognition |
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